Reservoir Simulation: State of the Art
Transcription
Reservoir Simulation: State of the Art
by Keith of A H. Michigan. was a teaching research and was SPE After senior 1961-66 -k Coats, 1969– associate 70 chemical engineer professor Dlstinaukhed of Lecturer Introduction The of and of some why resemoir model, two through used. petroleum on summarizes sections reservok of and by The two computer to these used sections today, with and The are the sharp addressed in processes: to ing, a summary. Ii History a broad pmcticed in the reservoir since the 1930’s. to recove~ consisted largely dimensional reservoir or methods). of term as analytical solution a major of Imge transient, two- advancement of multiphase advancement rapid evolution of and for in large recove~ equations is on examining and related (2- of by and mathematical finite-difference equations. During devoted black-oil simulated the 1960’s, largely reservoir to two-phase reservoir essentially problems. were simulation efforts gas/water and Recove~ methods limited to depletion were numerical allowed andlor increased stability numerical AUGUST 1982 of AIME of to reduction thermal methods effects and 1970’s concept the the to as each emphasis equations these of today and techniques. resulted in many model methods. more in the to represent Thus, 1970’s solution had single-model tuning These complex formulations advances recove~ computing the to simple costs formulations through and efficiency of methods. three-phase Simulation or 0deh7 Models—A gives subdivision En@wm (IFT) in simulation of of addition orber developed reduced the influence degradation, pertinent simulation simplicity 0149.213.51821008,.0020$00,25 CoP@ght ,S82 Sm@tY of P,t,ale”rn the solution processes the recovery the was behavior. of advances flow characterize sinwlato~ tension fine oil) complex In and schemes. during significant and from and comfortable the behavior. phase flooding, and and and that pressure immiscible adsorption assumptions Research the digital numerical of 3D), porous possible high-speed systems allowed processes and (gas mcdla, pilot stirnulationlflood- under were new relatively in porous a departure new they A field chemic,al water agents, proliferation these because hot kinetics, models programs of to unravel equilibrium caused of model trends of ,depletion interracial individual These made large-scale, and reaction The early relatively cost of enhance&remvery in simple phase chemical effects, in the into heterogeneous was development solving emulsifying finite-difference flow This computers 1,2 zero- of displacement flow reflect a markedly. funding floodlng, chemical complex thrcedlmensional media. methods alternative common oil multiphase calculations one-dimensional evolved programs, sets aid and became methods computer describing ‘.4 of changed two-component rnulticomponent (to of these physics @e ‘cost governmental pa~ial or a stmggle temperature, of calculations. “simulation” represented engineering use ~ethods, balances, predictive sophisticated the economics 1960, Bqckley-f_everett5J The ~etroleum by of to operating the simulation behavior replaced been performance compare Before material 1960’s, of has is simply predict recovery (ID) beginnin~ .Simulation calculations forecast simulation concept reduces and combustion. of hydrocarbon sense, to steani in-situ most appealed pictu~ prices to miscible and a addressing This conventional understanding A Brief the oil led beyond maintenance He to develop of has during 7966–70. Nominatin.a possible a prolifemtiim CO z injection, examples the potentially, and This bats Co, maintenance. deregulation led on capable and, 1961, during it significantly 1970’s, rise extended is used served to Research Texas. alyays usage, and Dining 7959 encountered. because development of It was model and projects in questions a section simulation sections and problems training U. model genetal from Production the maintenance. toward simulation performance simulation), pertinent why reservoir and descriptive of memoir of cur~ntly a discussion typical second a at simulation single, mechanisms developments technology models. followed The recent of the recovery is Michigan Esso simulation companies a brief description describe discussions the simulation Following model of with englneertng reservoir This U. the associate single current a simulation a general methodology. past the simulation. “of whit or discusses by in and model is to describe dkcussion simulation simulator (i.e., paper it is needed of simulation and this development requires histoty at research pressure propose level engineering and grid blocks. an 6f Brief excellent a simulation of He a reservoir then shows Description description model, into that of He a“ 2the the conceptual illustmtes or 3D network simulation the of model 1633 I- DIMENSIONAL saturation PVT and Temperature. associated with First, overall DIMENSIONAL ptessure tests vs. Second, fluid volume factors, obtained perforated 3-DIMENSIONAL m Fig. output rate on of each end Internal manipulation resemoir pressme cumulative and 2-, by 3D grids and are balance grid equation block and its respectively) law concept. or four the Reservoir fluid and throughout properties for the of reservoir porosity relative 1634 2-, are denoted visualize grid top surface is a set mtmcrical differential either In of 011 in the block from side each grid positive vary formation aids dip. and reservoir to anotbe~ also vary flow and fluid with solution masom in sands la~e with To opposed amenable for this arc capillmy (2) a to mobiliz& are and vs. oil widely really black mechanisms depletion of drive and of model pressure we loosely phenomena that Some of the accounts OF these first for oil maintenance JOURNAL the This of gasloil to the pefieabdit and dkcussion, from oil in heterogeneous mobilization, in simulation or drainage rec?ve~ variation OIL by differences, normal important compositional distincb oil caused a declining wateffloods different matrix. naturalIy density generally in this expulsion porous or upward an (1) fluid in oil the above are: gmvity d~inage, vefiical recoverable not The of lateral processes includes (1) nonlinearity pressure to be accommodate mechanism, permeability .geomet~; and as can most recoveV Simple injected causing to basic results through imbibition, direction, used reservoirs (3) oil/gas) from water The four from imbibition. Gravity drainage and Mechanisms advancing”’bottomwater Fkily, average gas, are The and and well compositional, decline flow’ by an oil, capillaty gas each and mechanisms. oil pressure recovexy oil, displacement, by mechanism time partial-difference (4) gives rates models flood water. below recovexy of equations The oil from spatial computations. Oil-Recovery black subsequent downward uniform are and and for the of and (water/oil contact. assumed However, and (PI’s), time. recovering is displaced locations, include results simulation (2) with encroaching practice, as pressure, block heterogeneity—variable permeability N expansion these vs. chemical and its are well instantaneous field expansion, formation injection/production of oil-recovery for drainage, and period. model irregular of on and as viscosities results and of types mechanisms ~lative indices step and different thermal, cases, time of used of distributions, WOR Models ty~s widely fluid permeability one 3D block reseti.oir block grid interior two z directions. block. grid each B and and from describe “3D grids an neighbrms, as each by The by are solution. and and composition, requiring partial a reservoir. such simulation A simulation set of can for or rilativi”perineability such each 2-3 thi the vary 1-, by 1-, Different represented properties a given properties (in reflecting properties and temperature, analytical to between six material phase are six position, each blocks x, y, depths porosity, equations its in the areal during One with subsea fluid or nefghbo~ block with four, volumetric ra@ 1 illustrates grids. grid the for flow a portion 2D 3D of phase two, Fig. familiar written modified representing 1- and the adjacent Darcy’s the 3,4 The block. two basically Laborato~ injectivity/productivity) total Simulation equations com 3. specified. injectionlproduction well Geological and Finally, satiation and welk such and calculated and GOR (for at the 1—1-, or pressure producing be grid relationships. productivity must each tables. estimates gas, (1) capiIky logs 1 and tests. intervals, Model fluid or properties, Iaboratoty schedules for pressure solution input (3) and items yield PVT by elevation capilkmy of include specification, involving for samples and types data functions work core three size and is necessary on digital arithmetic permeability saturation permeability rate grid relative petmphysical analyses - (4) highspeed of requires porosity, and fluid composition, require amo~t description (2) permeability, and the of pressure, solutions. resemoir geomehy, block, CROSS-SECTION the nonfinearhy of models of model simulation (3) functions The because data. and as computers A 2- relationshi~ properties y. enhancedadd a fifth defined create term or phenomena four. the recovery four by basic natural (e.g., PETROLEUM TECHNOLOGY waterflooding). T’Ms rcsemoim phases gas with oil of The basic models which model the Some to black oil gas condensate’ and properties bubble- vsry or (&y or mobilize enriched) oil phase by or by of dynamic (multiple-contact) injection of by CO swelliig. ~ “into Helms mechanisms The G+/oil in as from comelations and an or, more miscible simulators in-situ combustion where oil viscosity are applied processes is mobilized pruducing by water oil with increased by the PVT (2) phase to the more gas of oil the phase subsequent mobile [usually correlations to pmpties as phase, above distillation. and 500”F Thermal describe fmm of (3) include oil piessuti, gas of recovery and flood (surfactant), and watedlooding In reduce oillwater and to water xnd/or flouding, IFT, oil well tilckened water. impmved oil by oil Results The a.kemtion, interactions but are and involve such lowering effective increasing propelled bank of C02 thought the slug toward tie pulymer- flooding to emulsification. complicated adsorption, are include models performance of by simulation and injectkn rate, of in cyclic stimulation and per cycle for gas steam flooding case and spacing. A number models have been rate to OPtimize to overcome studies and questions injected pressure the level, and issues quality and One optimal question. time periods production. of steam-injection published. addceased steam steam.. soak, of simulate stimulaticm the to 19 to of and ~quired in reservoir injected of a C02 and rates injection, introduces and recycling USefUl used injection, The using C02 applied the and CO ~ are heterogeneity. concerns oil model by of by injected on Graze injection operating with level, injection These to effects loss surface composition and steam thk from time is also relate gas simulation steam of of recove~ fluids. cyclic In inclusion IFT, inj.+tcd are in recove~ a compositional of aud steamflooding. N2 breakthrough arc combustion of in cases applied of of oil reservoir not 10 Chemical ion of 10ss depletion of CO ~ /water for low fluid/fluid effects arc miscibility. facilities aud most only reduction field 18 Modeling Thermal into or of produced size in-situ surfactant responsible alkaline as the plus fixed-composition or compositional production pattern water oil g The the gas for of pressure. C02 application include design greatly solublizing bank. mechanisms in by used They tie effects a function of project gmtegies. the are (reinfection RangeIy as micelIar surfactants are a graded recovery prucesses by thereby an normally clearly 1982 reducing (2) 17 describe leveI. Polymer recovexy by micellar mobilized understood oil ratio forming polymer, (caustic). improves micelles production include alkaline mobili~ parneabfiity viscosity. models drive or vs. previously, during and vaporization composition Chemical water (1) drupout and injection composition. oil/water and prcssme phase stated to estimate composition, in estimating and water flank vs. is invalid. cycling by dso as resexvoim PVT gas Gf rate, waterfhding, gas two-component, liquid with teinpem”mti, to pattern (7) the weIl intervals, of models partial Zana cracking completion aa a functiGn desirability black-oil by oil oil (260”C)] models N-component functions the (1) and but, studies caused full.or dktillation of to estimate recove~: a natural repmaentation or of mGdels augmenting aud purpoacs facilities), reduction 15 aud (5) opposed drilling, reservoir injection Heam used oil well coning rste, as where state a applications black-oil are on (2) water Compositional of field 13 and m]ection. thcae are of et al. and frequently injection infi!l water of reservoirs (1) temperature, components AUGUST (6) discussion recent parameter spacing, peripheral Oil an with reaewois. these (4) 11 give 14 describe Harpde different simulation McCulloch 16 describe models of of a operuting of a geneml misuse. for to altered Herbeck uses in Ref. complex of and the models. et al. or and equations in heavy-oil primarily hydrocarbon mc!dfluid simulation ~covery (forecasting), economics 12 gives and papers and (K-values) to steam intermediate nettability of condensate Th&mal flooding use andlor (EOS). and Coats simulatkm gas mixture. frum examples. (3) composition-dependent recently, of floodlng. equilibrium and Staggs pattern reservoir N-component and pressure- mobilize description describes mom) Usad rccove~ dkcussion gas (3) on to cGmpare methods. BIack-oiI to reduction excellent C02 properties to (m to estimate scheme recove~ effect mobife Are excellent below and reservoir effects and Kllough or (single-$ontact) viscosity model content phase calculated oil oil an compositional hydrocarbon an by gives active outright mow three- is used producing the rather reservoir the miscibility; 2 and Med.mism into 6il nonequilibrium a black-oil evaluate of is injtild. presswe of existing number compositions with vaporization attainment for a volatile phase injection into to the phases of significantly (2) accmunt processes oil snd Models simulation conditions, of” constantaud whete dewpoint; and Compositional depletion reservoir phase, here recovery gas (1) gas water. in addition assumption are: phase discussed simulate immiscible examples gas types the Simulation Resemoir given gas in the in mechanisms. used composition, oil oil. mechanisms recovery are of shear, flow. of presumes and viscous phase gas Why content oil and mobilization snd solubihty hydmcasbon gas exchange, to oil, two-component vo~atilily of =maining some four the no volubility for This (pressure-independent) compositions, applies water, pressure-dependent phase. representation constant model immiscible a simple in the zero is@ennal containing Herrera well pattern field studks and 1635 Hanzlik20 5-POINT cyclic 9–POINT and field --------- compare performance and and related predict flood of caustic the 25 and process, to dkcem In recent given years, difference as injection of the C02 of /\ used a single, general N partial difference \ \ of for For as for is usefuf and to process has been used compare recoveries from a enhanced-recovery thermal methods combustion), and with ;’ QRJD in simulation model. and severaJ some the substance or coefficients an of adsorption or isotherms, is of of conservation of may be pment to K-values from or corre]atiO”~ aflowance for of grid equation component chemicaf is a set each consemation according With of of obtained state. for Each j a concept model written statement distribution equation uses general reservoir. distributed fonmdations models The substance phases, of equations a specified Each in all ‘ mechanisms discussion a mathematical energy. —DIAGONAL GRID X well modeling injection, brevity comprising mass PARALLEL-\ flood in-situ the currently simply 2 EOR Modefs-Methodology interest block </ micelksdpolymer schemes. /4. / been the flooding. oversimplification, . has as akemative and chemical Simulation nine-point complex for applications, and under such (steam In end to results. flooding. simulation reservoir types 2—Fiva. very the surfactant required to estimate pmcess&s, Fig. data steam. description. increasingly —x for process laborato~ model means simulation chemical controlling identify — polymerzs micelkzr are competing vs. and injected algorithm suitable C02 a in a resewoir affect to examine .g., the a reliable flood resemoirs strategies-e to for stimulation field processes a screening and results discusses for petiormance chemicaf f100diIyg23 gas parameters to construct selection — of the reservoir Consequently, results provides because many model discusses addition chemical used model simulation environment, and and WMiants21 Meldau22 to Numerical data operation, flooding, results ‘f field stimulation or mck reactions, tempemture-, \/ . pressure-, u and relative the 0 INJECTION . PRODUCTION WELL previously 3-Nine=spot grids. and described general Note the Fig. penneabilities, single, WELL composition-dependence that model. f_Jntil (and substances to number flow obsewed may either 1636 by grid be block Coats with placed parsllel of of the and the over to or effect was mobdity a five-spot of its flow neighbom. reported waterffoods by with to the A Todd et and later steamflood. x and OF PETROLEUM the (x-y) the this pattern of areaJ four pattern angle is me for perpendicular at a 45” JourmAL made in each of are in the phases 2 illustmtes et al. 23 for usual of scheme each phases, equations. models Fig. strong grid-orientation ~1, 27 for highly advene areal number model terms equations. a grid not equations of dbTerence Darcy conservation between each is a subset energy), the simulation five-point interlock, types requiring Thus, the recently, common viscosity, pressure, model. conserved unrelated capilla~ model components simulation of An y axes the x axis line TECHNOLOGY connecting parallel the and different and injector shapes breakthrough reduced by the times. by Yanosik and by the extta four Fig. 2. Their technique into simulatom treating injectiori” commonly are The the point either (three-equation) of terms. Solution N-equation the in that each for the water/oil saturations by equation orend-of-time-step) values of in the flow terms. extended al.3s called the The step this of relative ii the this fully implicit implicit or requires implicit geothenmd, steam combustion models case and end-of-timedensities, 36 first The tmncation In of IMPES compositional, volumetric exceeds formulation flow a small stable sequential larger ratios The number size implicit of thelMPES AUGUST both increase stable to much implicit one that of in.very throughput fornmlation 1982 IMPES step and t.o sequential remedy proportional step and time-step widely generally small ratios. is unsuitable, areal totbe size, today. involve grid For radial blocks these andtbe near studies, implicit tesults to blocks. obtained from simulations. method ina3Dblack-oil simulation between which unlike grid. AY). has been is used a and grid dkpersion. numerical through large permeability (fine-grid) cross- Heam15 used date, steamflood To confined number to with Thus, time watetffooding asufticient of However, usepseudorelative study. wells and useofa detailed in times compnter Harpoleand generally for primarily wells. numerical control of of They in chemical increases (Ar from in solvent if uncontrolled, areal eliminate describe in simulation grid agent generally required as flooding, production size atiner in results. breakthrough block isuseof sectional smdies steep saturation occurs and, dispersion frequently curves of spatial water chemicaJ smearing etc. ) at grid sufficiently fine ~ytea”dBe~@ of calculated iricrease dispersion thetotdcostof used studies resulting large from time are time early areal prohibkive the of appears in steam and solvent, to generally directions numerical the regions simulator gradients excessive in too (heat, This error tempemture (xory) results this flooding, areal water impIicit stability without refers dispersion spatial the than per Since per coning and smeared This step and the emorin in finite-difference terms, flooding. more IMPES method, balance numerical physical increasing cost) petiodis arithmetic spacings, well The this improves sequential error storage computing fonmdations S@le-well the for larger term throughput/PV. volumetric mtio agiventime three grid block remains block formulations. simulating product grid (or time-step all in a time PV. the if the method, Arithmetic to a gridblock of is sigiuticantly sequential unstable through throughput formulation become IMPES filling between scheme adjacent 3g Dispersion in miscible of gap which gradlcnts. waterfloodlng, and fraction fonm.dation of tolerable can model the material for for the However, stabilized potential This because greatly. a revised has Meijerink’s falsely in black-oil, to handle blocks. pteserve differ in material (associated gap. not the some equations) problems wrote tiyt resulting published papers.’3J’~ The does asdoesthe solution Implementation ina formulation for fonmdation models the IMPES is tbat capacity grid black-oil ills formulation NumeticaI Weimug 2,000 fonmdationf composition of for of here stability simultaneous compositions IMPES, term isdesctibed block options dlfficuky storage say, implicit model theimplicit in” compositional methods. (and formulations flood, is absent compositiomd Spilletteet simultaneous and formulation. highly use flow Blair (new- NC than, Meijerink48 water- * makes This N equations. grid relative three-phase permeabilities interlock tm.nsmissibilities. all to the dilemma following implicit sequential. formulation implicit viscosities) of concept formulation values using IMPES of involve sufficient machine larger sequential ofa time-level interblock the solution saturation permeabilities tbegrid solution balances case with with sequential block. solution over flow is of lacks much the frequently. with while too more state, One formulation using compositional formulations. problems interlock thestability two-phase equation time-level fluid IMPES studies are generally of IMPES andprelimimwy and emerging anequation implicit requires method equation of grid The 1,000-or sequential sensitivity problems more field-&Jeproblems, am Thk old intbe improved pressure it uses Fagin large The in is an of studies odels3943,4547 formulations. or gives the formulation involves case. updating in with Themmlm nine- et al., 31 and for black-Oil pressure explicit witbin or studies and sequential today option black-oil overall the fonmdation. applied coning, the with implicit tield-sca.le Smaller associated explicit Coats33 petmeabilities an apply less user-specified cross-sectional, floods or etlicient. studies, simulator witha solution. IMPES’” 30 Stone method to MacDonaldM the The and compositions method rapidly thelMPES gtid-block, model most is frequently black-oil more in miscible five- pressure, ofasingle by here problems, relative followed and described insaturation with the 3Dblack-oil time typical is pattern computing than terms and conventional et al., IMP~ extension values and flow mobility implicit Sheldon describthe inexplicit was formulation programmed scheme. denotes obvious front is. genemlly field-scaIe, implicit the finite-difference saturation. ~taI,32 difference flooding For steam difference being adverse terms of formulation or formulation encountered. formulation context water diagonal ii where the McCrackenzg steam These in markedly finite illustrated 3). result Thk nine-point (Fig. can of described C02 reducer f gtids2 calculated the to a diagonal minimize tbeir to pattern of grid blocks numerical 1637 TABLE l–CALCULATED STEAM (days) FOR A Well Difference five-point vector 1,400 and and efficiency “ectorization. code of PARALLEL 5-POINT size —-— DIAGONAL 5-POINT larger as large and used together up are of active to about This paftem PRODUCER 4—Calculated shape of steam fiood front in a initial satumtions are water 517 effects. Gas fingering viscous fingering”of floods, too smearing little gradients. scope oftftis of dispersion and saturation cases Killough etaL16 formulation to saturation of the addhiomd of viscous and the Tbeparallel grid gives breaktirroug Table in dkplacements. this on of Hardware Simulation sharply in the Cray-lSm wonls 1638 — past computer of stomge, storage, computer few bardware years. provides compared As equal andvectorization have an exatnpIe, up to 4,000,000 with atypically to Recent increa8ed the decimalavailable Fig. 80 and nine-point speed, of at parallel Practice Thecomputational capabilities Advances the days for fronts the the error density, andeqnilibrium that tie of the manual of grid scheme 117 days, days). grids for front schemes using between is small and the about interpolation. usean for K-values. offem scheme orientation diffe~nt correlations JOURNAL amiveat producer, far steam models42,w EOS should the 3 at (204 oil advantage OF PETROLEUM EOS density, Tbese the ~ steam five-point 2 MPa). five-point Thediffermtce two compositional tO separate two are the difference effect fortbe oppO.sed emphasize the at Well grids. (1.4 on of 4showscalculated, diagonal wells psia steam with B/D (5.5 1 show tittienine-point eliminates problem. 200 it reaches hat Well 1 shows virtualfy 1,000 a constant use breakthrough is production Obviously, actually at MPa), and at800psia orientation Wel13. (1.4 .81, well of grid before shapes Impact scheme. before All through Pas) psia Soi=O in Table Pmducer2 forcing fingering of times s) at (0.045 0.17. against (BHP) effect near .19, “C). thickness of35Btu/tuft is 200 steam results breakthrough describe K0va150 (269 pressure difference beyond force methods represent miscible are profile. describe dkpersionto with andconcentmtion two “F 0.36, cp injection delivem.bility producer), cp(6.75Pa. pressuti grid bas of and45 is a three heat SWi=O for diagonal 2 (near is 6,750 foreach Thecalculated pronounced results discussion. Longstaff51 simulation in simulation in these thegas unstable in adverse-viscosity-ratio result of and a black-oil into addhional reservoirs, solvent can Remedies alteration bottomhole in black-oil miscible Todd .“ on the formation 80%quality and with porosity saturation rate m3/d)of effect Thkpattembas temperature fnitial MPa) dispersion pattern grid. viscosity (260”C). produced 16,000 this a3-acre m)androck-specitic Od Specified thmr elsewhere. homogeneous reservoir (159 study, model than 1 (injector), 500°F nine-spot pattern. We grid-orientation of4,000md, (6.1 initial blocks. more 3 shows nine-spot isotropic irreducible Fig. the paraflel rnck-”F. DAYS using of black-oil black-oil way fypes Ofwells—labeled and 3 (far producer). of20ft grid Iargerstudles Fig. and45°-shlfted The inost Discussion steamflood. permeability feasibility ll,OOO-grid-block field and illustrates (12 X 103-m2) .. \ -— \ 3,000 under and section a by machine tothe recently, an Bay are of time increased describea3D blocks, Examples “) ‘“\ k., ! with Untl Ptudhoe grid subroutine strongly performing undoubtedly ● Data greater to use this found that vectorization computing contributes resemoirstudies. study INJECTOR Control 40. Mrosovs&efaL53 I coded soIution as speed currently O In of signiticimtly technique reduce vectorization stud]es 9-POINT TIME=SO allow solution can This — u 1975. increasesin ratios. capablIities simulators Noleneral.52 in the factor3 DIFFERENCE-SCHEME T m3tiI sharp speedlcost processing Crayc0mputer8 simulator EITHER used offer 117 1,000 900 of ---— machines computen speeds addhion, Parallel Corp. 75.5 most introduced computational 3 Diagonal 204 87.7 100,OflOwordion Recently Well Parallel T— nine-point TIMES PATTERN 2 Diagonal Scheme BREAKTHROUGH NINE-SPOT ai gas papem of TECHNOLOGY ‘ consistency in that obtained from in smooth phase and densities ‘and based densities also compositions a correlation55 converge of point. to The separste no values as value at EOS’s most calculations today Robinsonsg EOS’S are be was a In our trisf-and-ermr parsmetem Table to 2 compares Iaboratoty PVT mixtums of (54 °C).. data Simcm analysis e-t through aIl the ‘ al. pteserited with C02) (lumping four components. The four a modified results Baker and saturation Luks with the without match 57, but very equalIy these data regression, using Unit. indicating higher to to as study of of in Alberta. coning formations rate and 2- and from at for subsequent work for miscibility. to study as an recove~ rate. rste adverse and Ref. 67 was 3D to and calculations to types restricted displacements ryoderate describes in different study waterloil rangirr~ MPa) sensitiiiy This indicating (12.4 oil C02, level. injection void:ge of the tests ‘sensitivity” ultimate a simulation included similar into is employed resemoir indicated pressures. vaporization necessary rste injection, match, C02 reports define pressure-maintained, used psia pressures between reservoirs C02 pressure for 1,800 poin$, pressures, at all flood a All dewpoints. of design-stage discuss frequently or two components Kane66 We production EOS. in severe heterogeneity. good using low Simulation correspond results as bubble EOS miscibility relationship cmde 6s 1 MPa). ace pronounced oil increasing al. sensitivity. (C I the with SACROC Sample Peng-Robinson an of 130”F C002p0nentS results EOS with 63 for regressions, five showed the calculated last dkplacement intermediate Without (10. are simulation simulations pressures and bina~ bubble- EOS psia discussed + cmde MPa). pressures immiscible et 1,469 observed previously and (11.4 regression, multiple-contact data. at oil These M calculated pressure components, crude pseudocomponents. obtained et”a[. the inc~asigg with 14 components calculated JW three through Dicha~ sample components) Redlich-Kwong were oil petiorrned and pseudoizing the Simon the We after of by data. PVT results a SACROC listed, and labomto~ last completely The of compositional light psia C,3 the Peng-Robinson saturation the using from 1,660 the predicted Our ~f EOS calculated C Ls +. data c,3 match reported and result of coefficients C02/hydmcarbon through to match with Peng- interaction that C, calculated in the binary the pressure calculated Katz that test adjustment, while is necessaty. laboratory pressure latter the EOS. found adjustment EOS C02 have to 0.1298 point 2 were 62 except O. 10 and cubic a used et al, were bubble-point Peng-Robinson pammeters some necessary. of We Katz in Table 14 components adjusted Peng- EOS ffuidq requirements to match found all to resemoir we time efforts have that general ,applications the on .EOR prohibitive generally tim”gb of work, regression Frequently, shows EOS applications and a single, 61” describes compositional nonlinear using fmm Redlich-Kwopg al. 62 give in resemoir Martin60 obtained Yarborough modified used Redlich-Kwong56”5s equations. can form. widely using EOS. by values EOS values regression given a single EOS. predicted Rohinson Phase using smoothly Redlich-Kwong are y resuk.s to identical a critical on K-values consistence point. The use and This convergence appnmch viscosities et densities. source. differentiable computations critical phase a single The 39 TABLE concision simple a modfied 2—SACROC OIL/CO and brief ~ PVT of that rather Water/oil lengthy displacements reference are is rste- DATA Calculated Observed”’ 1982 regression) Predicted .1,660 1,660 1,660 ps~a 1,920 1,870 1,792 pressure, psia 2,160 2,079 1,947 Saturation pressure, psia 2,420 2,344 2,118 Saturation pre3sure, psia 2.570. 2,589 2,215 Saturation pressure, psia 3,000 3,000. 2,352 Saturation pressure, psia 3.740 3724 2,534 Saturation pressure, psia SaturaUOn pressure, Saturation Volume ratio 1.0 1:0 Volume ratio 1.1016 1.1123 1.2385 Volume ratio 1.2791 1,3043 1.4336 Volume ratio 1.5234 1.5562 1,6970 Volume ratio i .6443 1.6694 1.8270 Volume % Hquid 73 73 82 Volume % tiquid 59 57 68 Volume % fiquid 50 51 62 Volume oA liquid 40 39 47 Volume oh kouid Volume oh bquid at AUGUST (after 610 7 of psia Crude gas, mol Crude gas,,Z ZC02 at .Clltlcd pm 2,000 wt psia 7 i.0 11 crude — 40 39 20.3 21.2 20.8 0,776 0.781 0.75s 0,38 0.38 — 1639 “’”””r-l!”” I ,, I I ‘o I 1 !, 2, I ,, .0 % Rccov O(L Fig. sensitive is if used, of a an and definition Figs. 5, a fixed oil across and find at rock saturation definitiori68 dktributions is fairIY the horizontal blocks representing more incIined water/oil x and block CaS&). Where or to the viewed depth blocks ln block rock and pseudo different offset by mote grid viewed the the about equilibrium latter the should existence during be used of phase dynamic of segregation a trend a’ sense, the dynamic contact use pseudo viscous and shapes et al, 70 and of pseudo from with resuhs blocks Kyte relative comparing detailed using is an of of or fewer layen. systems Until on most this in three will continue simulator recovery a extension or go~ is reached, JOURNAL step and temperature. of behavior mom will interest. direction. in pan on of equations phases we of in that of of mukicomponent over wide witness OF PETROLEUM the of processes small depend and be use toward capable will PVT will i.e., definition. now of machines. studies studiis- reservoir research the small larger understanding pressure strongly compositional, large-capacity savings example this using high-speed, way or be perhaps general to represent fluid of will cost or under all 33 state we and toward a single, improved curves irresp~tive very simulating Ref. (inclined reservoir would Simulation computing go? (horizontal pressure of Research if lengths fluid-saturation addition, background which obtained results on are initial the Jacks the black-oil, The capilla~ In give including 1 to 2 years, definition practice, difference In distributions from curves yectorized of is unimpotiant thickness not reflect calculations contacts. discuss Future Within. models The y dire&ions. BeW,49 The blOcks values (dip). elevation set a are not fluid- pseudocurve the grid as 1,’7 undemunning). cross-sectional @ Ru” contacts. the in dkto~ing authors, permeability used gasloil cumes act (overrides, will ‘equilibrium condhion ,.O,! ..60 if pseudocurves shut-in, to level Sevetal pseudo initialize if grid time) forces Success significantly distributions, as ultimate be transition-zone grid ovemll ratio and pressure gravity pool, distributions were (in equilibrium higher find of The’ the yield capilhy reading should definition gas/oil exceed case) arguments staggered pressure and block am not D-S speaking, waterloil reservoir I m RECOVERED Lake initialized horizontal =“d curves as Selecting mcoveiy concept structure in both capillary significantly the wh!ch complex in the Strictly the if the rate. correctly. at the limits we stmightfor,vard reservoir becomes pseudo higher resewoir used, of on water/oil figure, laboratory depletion. existence and oil a fixed discuss cut limit 1 40 6-Sturgeon corresponding limit the the the depends conclusion. ukimate curves, or representing 1640 economic et al. 6s69 of vertical an economic adopted. this we across pressure place limit Selecting reading lower Coats give as 1 30 m Fig. water an economic two 7 illustmte rate. and capillary the case figure, recove~ as Thus, economic a higher limit if is used. 6, seciion.67 maximum particular of mte the of those If I 1 ,0 , 60 cross rate-sensitive given ! EnEO rate” weights ,: % 0!, in any- oil 1 ,, pool, B limit not sensitivity relative River economic are minimum rate at 5—Belly 1 ranges a TECHNOLOGY ,,,0,, continued development variety of types and of increasing simulation application models for of 1 a 1 1 1 1 ,.. 1 1~=1 different processes. Conclusions A reservoir simulation difference block, one model an the is described used. IMPES stability for here provided by of recent each in terms sequential of of and grid or description. tbe various generally options tinite- each component fluid models with partial, For reseivoir Current formulation of equations. is written comprising formulations is a set balance equation substance The model material employ incrsased — ,,,,,. ..,, k. implicit formulations. Examples significant advances include (1) ,00 a nine-point difference orientmion effects; promises formulation (2) and may (3) and vectotization fi?asibility Cutmnt larger, single, of may a generalized model generalized processes of tield away to the studies. from different the present processes applicable toward to all or %,!, a Fig. most G,W, relating to Paul’s chemical provision flooding and of iifimnation its simulation. 1s. M., Media, Co. Katz, D. L.: Trons. , AIME Buckley, 6. Welge, York ‘“MC ,, J. ‘A Recoveries by of 16, Producing 19. Gas-Dtive Oil M. C.: and Gas Odeh, A. S.: .’Rese~oir (Nov. 1969) 1383-88. s. Hahn; L. W.: Recovew Methods,, 9. Oqaq, W.B,.: Pet. 10. Tech. AIME (1942) Drive,,, Trans., of 146, for Johnsan, Per. 11. C;E. Td 9 J, Tech: of S.rfactam 1976) 93-102. .’Status zmd Mad.els-An and Pd. 1976) H.M, C02 ‘.sml.s Jr.; (Jan. Stiggs, of 1s It?” Hydnxwbon (Jan. 20, 107-17. Oil (1952) J. Per. 21. Tech. .011 76-84. Micellar Mcthodi.’, J. 22. md Emulsion Floods,” K. H.: P,!. Tech. and 23. 85-92. E, F,: .. Resewoir Ovmview,., Htgb Reservoi& Relief (Nov. Nwn,~ical 15. Harpale. J, Pet. 8irmdatian Tech. (D.c. ]97 t) K.!. voir,,, paper tion md SPE J. E., 1982 J. R., Rainbow 24. 2.5. and Spivak, F!e[d, A.: Alberta, %imu!?,ticm Canada,” of J. Reprint Hewn, Series, C. L.: [0022 Role of a West presented Symposimn, Pav&w, .’The SPE, E,J, M the BeijinE, Jr., Martin, Dallas (1973) of Numerical T.= Cmbonme [.11, Petml.urn March 19-22, C., Doughty, cmd 11, Moranvi[k, the in 1312-18. M. B.: ,of at the .% ,S and Flood 1981) Effects Exhibido”, and for SPE McCaner, the .. Misci- dp SPE W!”dkdl 56th Antonio, E. D.: Cornell 10292 Cm fereme Hencra, J.Q. of Multivmll Unit, presented tid at Exhibition, Hmzlik, a“d Amual 5-7, Oct. “C02 Flood Wasso” S.” SPE 56th the S.” R. L.: Dipping Rismvoir,,, mal Techk4 5-7, 19s1. Aotcmio, Per- Andm”s AmI.al Oct. 5-7, of Repoi Fayem, F.J., 28. Histmy Cat Field,,, for Steeply at tbe S.m 56th K. H.: S 3. Am Amcmio, Coats, Wells,, R%iOna[ z Massive, presented md HeavyOU Cmyon ~lifomia Exhibition, Hawe$, R.L, E.F., Theory (April Pec. Ott: .’Cyclic Tech. (O@. J.’ (Dec. K, H., Mic.llm .ictants Pe’t. E. R., Limar Flooding,,, f., . ‘Some .,.J. .—. o, Tech. CO ~ m (Sept. Rubin, Alkafim First 1980). E,, 1981) and As.,,,, EOR of ‘%&;;; ;; 1617-27. Radke, Flcading,’. C.1.’: S... Pet ‘<A Eng. 245-5S. K. H,, and ?erfonnance,” Am!..] Accwacy for Cwas, Flcad M. R., J, Vis]ocky, 19S2) J, T., 44th !. (Dec. and.Mathews. of Sufi R=rvoirs,’., Chemical Palm”, Amenable DOE/BC/03iM8-20 dezabala, Coats, Design R. G., Reservoirs Abdication % Eng. 19S2. 1979 10321 and of Sdrndatim i990-98. ..seitiicm creased Exhibi- SPE Shipley, Stimulation tbc Pilot paper ..Steam S ! -B Zoo., p==!t,d at April 18-20, RF., Annual Tcdd, i“ the C.mfermce Meldau,, SPE 27. E, J.: Pattern .’Steamflood Williams, pOIYmer 3im.1a- R. K.: M., Eval.atio” Match J. Per. Reser- Cobb, R,, PaPer No& Models,,, 26, Mm.gmnent Technical KiRo.gh, AUGUST md Sim.Mio” 1399-1408. Simufo,km, in Reservoir of Reservoir 1391-98. Langtcm, 1969) tirm Mcsuse 1969j (Nov. R. C., 14. 16, . The McC.llach, Tech. M, Potemial Coats, J. 13. Todd, 1981) J. 1428-36, 12. and and presemed 10274 and C02. (July Tech. K. L,, Rcsemoir, Exhibition 1982. of a Possible Per. Recovery SPE paper paper SpE 7969 Meeting, Vemura, 195, Miscible 1976) m Caustic Herbeck, Engineering ” 0,1 Conference Gas/Steam of ..Study a Cmnplti 1981. Fluid Compu[ing AIME S~mulation—What <status (Jan. 2.W Petroleum 19-22, the J. Fuller, Enhanced Tax, E. T.: of InO. March at Colorado,,, C. W., Gas Field,” Reserves,” “Mechanism Method m Water Blobmqtiist, formance 147. 91-98. 7, Run Simulation Beijhg, Zana, Field, T.$ch”ical TrarIs., Fiekk p~senred a“d Technical McGraw-Hill Bay 1~23 D.J. Profit ([946). 18-32. Simplified 0,s pool, 19S1. ( 1945) Lcverett. in Sends,,, H.I.: D-3 Syrnpmi.m, Gcwe, bk Porous (1949). Estimating 118, and Ml Through Produciiotz, Oil Histories of (1936) Displacement City Phys. .’fvfethods Fluids Arbor, of Production App&l SE. Ann Pmpmim New M.: ksewoks, 5. l.c., Phxlmd Inc., Muskat.. of Homogeneous Flow Edwards M.: Bcwk 4. Thv 1.W. fvfuskat, 3. Prudhoe spE Technical 17. References 2. ‘The PaPer Ra@y 1, hfu;kat, RCcovmm 7—Simonette interest. Acknowledgment. I appreciate ,./. capacities, contribute detailed of which 3,., simulator; storage which lead models --- grid- simulation speeds, more research prolifefafion fecovery of computer capabilities, of usage, in compositional aid development increased reduces equation-of-state improvements and which Meeting, O, Dell, Denver, P. M., and i“ Numerical 1972) George, Colemvve, paer SPE Sept. Hira-mki, Reservoir G. T.: 2546 .’Predicticm .28-Ott. G.J.: kf prese.t~ 1, at the 1969. “Methods Simulators,, for S SOC. lo. Pt-z. 515-30. W. D., Chu, Chich, and Mmcum, B. E., 1641 ‘.Thcee-Dine.sional E.g. 29. J, Sim.kxion (Dec, Yanmik, 1974) J, L., Difference a“d Ratio Stcamfloodin&7, So.. Flood Pet. 52. McCracken, Rexwoir Mobility of 573-92. T. A,: Simulator CA Nine-Point, for Realistic Displacemems,,, SOc. F(nite- Prediction Per. Ettg. of Adverse J, (Aug. Sheldon, J. W,, Gmmal Paper SPE De”ve,, 31. Harris, Resewoir 1521-G Oct. Stone, H.L, 32. 1960. and Gwder, Drive Trans., Fagi”, R.G, a“d E.g. J. tion 34, and Methods, J.J.H, MacDonald, 8imUi,ii0” 1910) 35. ~PE Vegas, 36. Problems 37, md i969) Coning,,, -f. (June 55, or to 56. Coats, K. H.: of Dublin Exh,bhio”, 39. Coats. 40, Ba”sa[, Denver, S1..., of K. H.: E.g. J. “A (Oct. 1978) P.P. a (1980] 62-76. Numerical E.g. J. H. L,: Annual ‘Solution of A Sim.latia . ... Las IJirncnsicud, at the hibitio”, 41. Las Pat,.., SPE EIW. Numerical 418-24; VeZas, J.T, and 9-12, 1977. Huf-n-P.f Process,>’ Technical Con ” Technical Con a“d Coats, 43. Coats, K. H.: 62, paper SPE and Sot. S... Per, (Dec. 44, Implicit, Co” J. (Oct. 9228 ptcsen[ed E.xhibitiori, f-as 1980) hnp!ick, Three-Dkncnsional, Per. E.g. Wei”stei”, SPE fmence 8329 a“d Ex. Smdy of at the 54th Ve8as, the C02 J. for A. E.: 1981) Wheeler, Thermal Sept. 67. X-26, Model,,, .,, Sx. Per. Eng. J. “A Strongly Well Coupled, Fully J, A., Culham, Model J. (Feb. You”gren, for 1979) G. K,: Combustion md W. E., Tbmrnal 37-5S: Co”i”g Woods, E. G.; P./. and EIIZ. Che”, Recovery Trans., . .Developmmt Rc.servoir 69. Made],,, (Feb. 1977) Sx. J. A,: 49. at J.R, Kyte, Kovd, PeY. 51. Todd, and 1642 !b~ SpE Berry, Dispersion, E. J.: Unstable ‘A Miscible E.g. J. M.R. Application New Stabilized R=woir and Numerical 50. ‘LA Numeric.[ ~9~~ted (be and J. and (Feb. Per. of Ew. .? s. 49th Ann..l for 1980) .< New 1, S.,. Per. Me~had for Displacement La”@iff, J. Functions R, M., Iiom and Da$i8n Unit, Kelly Predicting the W,J: T,..,., , AsME, Kane. A. V.: .$The simulator Solu- Ptcdimio” Eqnation 1197. New Two-Comta”t Fund. (1976) 15, of SIate-Which?” Equa- 59. Ind. Eq.aticm mwemed Engi&ti~g and ScpI. A.: .< Predicting Using 1978) Swn- Research, IW15,, l~6th 1978. Phase Methane the Behavior Imeractio” of Coeffi- 1649-55. Zma. E.: ‘, Pha=-Behwior “Systems,,, So.c. Per. Pmwr- E.g. J...f &b. Penynm., of Tech. of Canada Lid. Sot. Pet. J, D.: .EwIu. Project-SACROC (Nov. 1973) 1309-13; of of Oil K. H., m and Board, Pmc. Smith, J. and and Reservoir Use of 1973) (Feb. and 1974). Weber, Flow J.‘. H.: S... and Per. C. C.: Enx, .. The Pseudo Use of 3. of Thrce(March Moddin8 a Two-Dinwmicmal Dynamic 0,1 .. The Simularicm Mattax, A, G.; i. 1967> Henderson, With 1 Energy ,, .‘777-RR . .. (Dec. Pm fam.ce.,, O. E., knmsiona[ Ens ,as Schedule Albeti 7511 M. H., Two.oimemioml Reservoir Rate,,z Two-Phas+ J. R., j. to Productim the No, Terh.”e, Per. DemPwY, -WAG Snyder submitted to Three-Dimemicmal, Equilibrium (1,”. Recovery submission R, L., SOC CO, Unit—Kdly 19791217-31. >s Neilseri, Reservoir,,, J. Saturation’ ” of a LarEe-ScAe atmche$ Comervatim K. H., H. 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W., 1963) Method Scmuhm%’z Luks, 1980) J3khrmy. Ew. Application S... 27, Beach, md Oil Celculatiom 8im”lator-The Per, 267, .. . . Me@i”k, -Reservoir Thumodynamics of a Gmerdized (Nov. A.. (Occ. !9. “A Fluids,,, Tech. Tech. 81. Systems Per. L.E. Three-D .. Nunl,rica[ Processes,S, AIME, and Simulator,>, W. H.: 18, Fimoz~badi, Rosrrmn. Dimemional .. Nummiml J, ,.-,, TWC 1979) Viscmify Pet. Red[ich-Kwong (1972) _wzions 1979) J. [h. 112- Chem. Miami C02 Verlical S.,. Eng. Meeting, R.. of Gas 454-58. Process,, H. B., Simulation En<. 48. 68. 70. Crooksto”, for (Aug. .$ Cdc.kding :. Correlation the 16, .$Application and Resources Model Three-Pbuse (Aug. J. Fh83CiCi~S D. B.: of St&in J. Simon. Field,,. Annual 65-78. 47, D.L. Enhanced 363-76. McDonald, H. G., Model 46. Katz. SC-i. Equations ‘<Simulation and Tech”iq.e &g. 233. with Reservoir on Nat]. W, Joseph Enz. ‘. CUNC. ‘<On State, Joffe, Robinson, L.: ACS E.g. 533-53. R.H. Tech. ----20.>6.. . Three. 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(cd.), Seauendal-Sal. paper Annual fzyer~-CompmxionaI a“d A; G,, S!abifiw 351h Physiml/N.merical Water Method Computers,, ,. Analysis ?,imulatiox Miller 42S-36, Spilletre, Jr.: C.H. Itztc+or of SPE Processors PeL D. W., 211-20. 175-82, R.C. ‘A Digital Vector , J. K.ba, Mmso. 222. ‘. Resemoir Boundcry the A.0, Stmwu’t, Associated D.: on Reservoirs,>, 1966) K. H,: and at M.ltiphme (June Coats, Bavly, , AIME, Two-Dimc”sio.d 33. a“d Sim.fai.n presented 2-5, Dismlvcd-Gas 92-[IM; C. D., Behavior J. S.. Per, 53, 1979) 253-62, 30. Pm fonmmce,: No]... the in tie and Pm.., general 7he areas. ,wdfk JOURNAL ar!ic(as .3”IY ,. of recent is e project OF thess details readership series in !he topics .f prmide ;1(”s!,,,, ad.amas the Technical PETROLEUM tisc.ssed, kq $M recent Wrillen by reterem~s !he techndog~, io VW!O.S Ccwerage areas Committee. T6CHNOLKIGY .f SPE 10020 K. H. COATS 17. Spillette, A. G., Hillestad, J.G., and Stone, H.L.: “A High-StabilitySequential-Solution Approach to Reservoir Simulation,”paper SPE 4542 presented at the SPE-AIME 48th Annua~all =ing, Las Vegas, Sept. 30-Ott. 3, 1973. 30. Weinstein, H.G., Stone, H.L. and T.V. Kwa “Interactive Procedure for Solution of Svstems —,—--- of Parabolic and ElliDtic Eauatio in Three Dimensions”, I & EC Fundam~ntals Vol. S, No. 2, May 1969, 281-287. 18. Blair, P.M. and Weinaug, C.F.: “Solution of TwoPhase Flow Problems Using Implicit Difference Equations,” Sot. Pet. Eng. J. (Dec. 1969) 417424; —Tran:., AIME, Vol. 246. 310 Price, H.S. and Coats, K.H.: “Direct Meth in Reservoir Simulation,”Sot. Pet, Eng. J: (June 1974) 295-308; Trans. AIME, 257. 19. Letkeman, 2.P. and Iiidings,R.L.t “A Numerical Coning Model,” Sot. Pet. Eng. J. (Dec. 1970) 418-424; Trans, AIME, 249. 32. 20. 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(June, 1973). 76* Stone, H.L.: “Estimation of Three-Phase Relative Permeability and Residual Oil Data,” J. Cdn. Pet. Tech. (Oct./Dee. 1973) 53-61. 7s1 TABLE 1 CALCULATED STEAM BREAKTHROUGIiTIMi3s(DAYS) ..FOR A NINE-SPOTPATTERN WELL 2 DIFFERENCE SCHEME 5-POINT 9-POINT DIAGONAL WELL 3 PARALLEL 47.8 87.7 DIAGONAL 204 1400 900 75.5 / . PARALLEL 117 1000 \ / \ / \~ 2 < PARALLEL~ GRID / \ / \ ~DIAGONAL GRID \’ ● D 1 0 INJECTION ● PRODUCTION “WELL WELL TABLE2 —. SACROC01L-C02PVT —— D.4TA CALCULATED 6E (~F’rER Regression) PREDICTED OBSERVED —.— .= .——. QUANTITY SATURATIONPRESSURE,PSIA SaturationPRESSURE,PSIA SATURATIONPRESS’!RE, PSIA SATURATIONPRESSURE,PSIA SATURATIONPRESSURE;PSIA SATURATIONPRESSURE,PSIA SATURATIONPRESSURE,PSIA VOLUMERATIO VOLUME RATIO VOLUME RATIO VOLUME RATIO VOLUME RATIO VOLUME % LIQUID VOLUME % LIQUID VOLUME % LIQUID voL~ % LIQUID VOLUME % LIQUID VOLI.!!% LIQUID OF CRUDE AT 610 PSIA 1660 1920 2160 2420 2570* 3000 3740 1.0 1.1016 1.2791 1.5234 1.6443 73 59 50 40 7 1660 1870 2079 2344 2589* 3000 3724 100 1.1123 1.3043 1.5562 1.6694 73 57 51 39 7 40 20.3 .776 .38 39 21.2 .781 .38 CRUDE GAS M.W. CRUDE GAS Z ZC02 AT 2000 PsIA 1660 1792 1947 2118 2215 2352 2534 1.0 1.2385 1.4336 1.6970 1.8270 82 68 :; 11 20.9 .758 * CRITICAL POINT TABLE 3 ILLUSTRATIVE RELATIVE PERMEABILITY AND CAPILLARYPRESSUREDATA WATER-OILTABLE s“ ●2 .22 .3 .4 .6 .7 1.0 Pcwo PCwo1 PCW07 GAS-OIL TABLE sL Sw + so krw krow 0. .8 .2 .05 o* 0. ●3 ●4 .6 .8 .95 1.0 0. .03 .45 1.0 7s3 Pcgo ‘rog Pcgol o* 0. .05 pcgo7 .8 krg .7 ●O2 0. 0. TASLE 4 INITIAL VALUES OF PNASE PRESSURES MD SATURATIONS MOBILE CASE 1 2 3 PCwo PCgo < l’cwo7 3 Pcwol > l’cwo> PCW07 Pcwl > Pcwo > P~wo7 4 Pcm 5 6 Pcw > P~wol Pcwl > Pcwo > PCW07 > Pcml PHASES PCgo Sw SATURATION S so % PRESSURES Pw Po PO Pw + PCW07 Po + ~cgo7 < l’cgo7 w 1.0 0 0 Eq(lb) < pcgo7 W,o s“ so o (lb) (la) Pcgol > Pcgo > pcgo7 W, O, G s“ so % (lb) (laj (Lc) Pcgol 0, G sWc so (la) G W, G sWc s or % (lC) (lC) Sw sor % Pcgo Pcgo Pcgo > Pcgo > ~cgo7 > Pcgol Pcgol > Pcgo ‘ pcgo7 * SEE DISCUSSION % PC)- Pcwol Po - Pcwol pg - Pcgol * (lb) Po + pcgo7 (It) ~ —.— ---– GRID DIFFERENCE-SCHEME PARALLEL DIAGONAL EITHER 5-POINT 5-POINT 9-POINT \ I/ i TIME =80 DAYS O INJECTOR ● PRODUCER FIGURE 1 CALCULATED SHAPE OF STEAMFLOOD FRONT IN A NINE-SPOT PATTERN 1000 I I I I I I 100 / 100 10 . f OIL RATE ST B/D BE \ / \ \ / /- / 10 \ I 1.0 \ / \ / I / /I I \ —400RB/D ---100 I I o INJECT, RATE RB/D INJECT, RATE I I i I I I 10 20 30 40 50 60 % OIL RECOVERED FIGURE 2 BELLY RIVER B POOL-CROSS SECTION (Figure 39 of Reference 7’2) 1 7s$ 0.1 70 Ic:ooo I I I I 100 1 I E 1000 i 10 / / ——— ——— — \ // 1 L\ ,\ / Y / ~i OIL RATE ST B/D I 00 /1 \ ‘ ‘\ L\ I I I I o 10 20 30 1500 --- 10 W( BBLI RB/0 / 375 RB/D 1.0 \ \ / / / 1 / // “/o OIL I 40 1 I 50 60 RECOVERED FIGURE 3 STURGEON LAKE D-3 POOL, RUN 1 (Figure 34 of Reference 72) ~oo.l lo,ooo~ I I 1 I I I t II 100 II I ——— ——.— —, ~- 1000 — 10 OIL RATE STB/D B[ 15,000 I 00 “ 10 o --- RE/D 1.0 3000 RB/D I !0 20 30 ‘/o OIL 40 50 RECOVERED FIGURE 4 SIIMONETTE D-3 POOL, RUN 2 (Figure 28 of Reference 72) 60 70 0.I