Geophysics Optimize Performance Of Tight Oil Resource Plays
Transcription
Geophysics Optimize Performance Of Tight Oil Resource Plays
JANUARY 2013 The “Better Business” Publication Serving the Exploration / Drilling / Production Industry Geophysics Optimize Performance Of Tight Oil Resource Plays By Glenn Winters MIDLAND, TX.–Fasken Oil and Ranch Ltd. has been involved in the petroleum industry since the 1940s, when oil was discovered on the sprawling West Texas C Ranch purchased by David Fasken in 1913. Despite decades of drilling and production activity on the 200,000plus-acre ranch, unconventional resource plays have completely changed Fasken Oil and Ranch’s development strategy, shifting the focus from conventional carbonate and sand reservoirs to thousands of drilling targets in low-permeability formations such as the Spraberry, Wolfcamp, and Pennsylvanian (Cline) Shale. In addition to the West Texas plays, the company also owns large acreage blocks in the Eagle Ford Shale in South Texas and the Bone Spring horizontal resource play in New Mexico. These plays are transforming the industry’s understanding of North America’s resource potential and are sparking high levels of activity in even the most established basins. But resource plays also introduce challenges that were not present in developing conventional reservoir systems. Reproduced for SeisWare International with permission from The American Oil & Gas Reporter www.aogr.com TECHTRENDS2013 Consequently, unconventional plays are driving evolutionary technological advances necessary to develop the resource base economically, particularly with respect to drilling and completing wells. Geophysics has a critical role to play in optimizing production performance by well placement, especially in tight oil reservoirs. Fasken Oil and Ranch is using various geophysical techniques to look at key factors in each of its three play areas. In the Eagle Ford, 3-D seismic is used primarily as a structural guide in areas with limited well control to keep horizontal laterals extending one to two miles within their target zones. However, we also are analyzing prestack data sets and seismic inversions, and from these data, we see important variations and sweet spots within the reservoir. An example of the benefits of utilizing prestack data volumes and seismic inversions occurred in the Eagle Ford, where fracture networks created and rejuvenated during the fracturing of a horizontal well propagated through natural fracture systems to affect a vertical well that was being drilled one mile away. That was surprising, considering the ultralow permeability of the rock. The data resulted in a revision of the drilling, completion, and line of communication between the two operators involved in these wells so that a similar circumstance would be unlikely to occur again. In many cases, horizontal Eagle Ford wells are being drilled on spacing of 500-800 feet or less. If natural fracture systems are present, seismic data show that frac treatments may preferentially follow the natural fracture system, conveying the network created from one horizontal well into the rock surrounding well bores as distant as one to two miles. This, conceivably, One of the lessons learned from analyzing seismic data in the Wolfberry play is that the geology can change quickly, and intervals present in the stratigraphy of one well can be absent in the next well. This image compares wells 709 and 710, which are located only 550 feet apart. The seismic lines are the conventional bandwidth extension in the upper section and seismic inversion in the lower section. The arrows mark the interpreted zone. Contrasted to the conventional data, the inversion shows a pod of low-velocity material. This cross-section shows the Strawn formation coming in 60 feet lower in Well 710 than in Well 709. The seismic also identifies the lower-velocity material and matches the well data. could create complex communication and production interference issues between horizontal wells. Wolfberry Play Fasken has acquired 3-D seismic data over the entire ranch in the Permian Basin, and last year completed a major initiative to reprocess all those data. We break data into volume types, including “conventional” 3-D seismic, 3-D inversion volumes, and 3-D depth volumes created from post-stack time migration, using a hybrid technique that incorporates stacking velocities that ultimately provide an accurate map of converted depths. In addition to prestack inversion and depth imaging, we are experimenting with a number of other techniques to see what ultimately could prove valuable. As in the Eagle Ford, the primary application for seismic in the West Texas Wolfberry play is mapping structure for several formations. One of the important lessons learned from our experience analyzing seismic data in the Wolfberry is that carbonate deposition present at one well location can be entirely absent at the next location some 600 feet away. Even though the Wolfberry is a resource play where the development model is to drill vertical wells at tight spacing and fracture 10 or more intervals, our seismic data illustrate these intervals come and go in the subsurface cross-section underlying Fasken’s development area. Two wells may be spaced only 660 feet apart, but intervals present in the stratigraphy of one well could be missing in the other. The point is, these are not “blanket” formations that are deposited continuously everywhere across a portion of the basin, let alone an entire section. Currently, the Wolfberry remains mostly a vertical play in which 8-12 zones are completed per well. The development strategy for many operators is to repeat the same drilling and completion design in every well. So if a vertical Wolfberry well encounters a carbonate interval in one well, the same depth is typically perforated and fractured in all subsequent wells. Operators are always looking for ways to cut costs during TECHTRENDS2013 One area with significant potential for innovation is integrating surface seismic and microseismic data. Bringing microseismic data acquired during frac treatments into the 3-D seismic data model can help identify potential geohazards and eliminate prob- well completions. A questionable method is one that attempts to reduce the number of perforations by leaving out some intervals in a well, and by fracturing that interval in the next well, hoping that stimulation will be accomplished in both treated and untreated wells for the zone. However, detailed analysis of 3-D seismic inversion data clearly shows discontinuities within formations throughout the Spraberry and Wolfcamp. These variations make a “cookie cutter” approach with a single completion design ineffective because it will end in treating intervals that are missing in some locations, and can overlook highly productive zones present in other wells. For example, Fasken has identified areas where there are conventional carbonate buildups within the Spraberry and Wolfberry, missed targets of earlier drilling in the 1980-90s. As we move to new areas on the ranch to extend the play, we seek these targets for optimally placing the first wells where the likelihood of good reservoir is present. For the sake of argument, if our drilling pattern dictates drilling 20 vertical wells in a section, we try to place the first 10 locations where the seismic suggests the best part of the reservoir exists. The goal is to drill the best wells first to maximize the return on investment. We seek to high-grade well locations by using seismic to find areas with traditional carbonate porosity reservoirs as well as exclude locations with tight zones that are dispersed throughout the Wolfberry play. Several Wolfberry operators active in leases surrounding Fasken’s West Texas acreage are attempting to experiment with horizontal drilling. We at Fasken believe the Wolfberry play eventually will become a multilevel horizontal play, similar to the Bone Spring 1-3 formations of New Mexico and the Delaware Basin that are age equivalent to the Spraberry and Dean formations. Horizontal activity on lands near our ranch includes four wells drilled in the Mississippian, one in the Penn Cline, 13 in the Wolfcamp and four in the Basal San Andres. lems. These images illustrate how the presence of a thief zone that was initially undetected in the Strawn formation impacted the stimulation results in one stage of the frac treatment. The potential of multiple intervals has partially influenced our vertical drilling patterns. For instance, we may want to drill vertical wells aligned in three rows across a section, and then come back and drill horizontal wells between the rows, again using seismic analysis to find the intervals that are more continuous with better porosity. Unlike vertical Wolfberry wells, horizontal wells target one primary zone within the Wolfcamp/Spraberry package. It is a matter of development economics. If a vertical well with 10 stages produces 150-200 barrels a day, the average contribution from each stage would range from eight to 30 bbl/d. Horizontal Targets 5,000’ Interval To Choose From BSA BSA “Upper Leonard” aka Avalon Shale 1SST_SPRABERRY 2ND_SPRABERRY JoMill JOMILL DEAN_LIME Wolfcamp Multiple Targets “A, B, C, D, Middle, etc” Penn “Cline” Atoka Lime DEAN WOLFCAMP M_WC_MKR LOWER_WOLFCAMP BASAL_WOLFCAMP PENN STRAWN ATOKA ATOKA_LIME UPPER_BARNETT Moonlight MOONLIGHT LOWER_BARNETT Lower Barnett Current intervals tested LOWER_MISS Courtesy of Stonnie Pollock Fasken Oil and Ranch Fasken believes the Wolfberry play eventually will become a multilevel horizontal play, similar to the Bone Spring 1-3 formations of New Mexico and the Delaware Basin. Several Wolfberry operators active in leases surrounding Fasken’s West Texas acreage are experimenting with horizontal drilling. Horizontal activity on nearby lands includes four wells drilled in the Mississippian, one in the Penn Cline, 13 in the Wolfcamp and four in the Basal San Andres. TECHTRENDS2013 If, instead, a horizontal well is targeting a single formation–perhaps a conventional carbonate or maybe a tight shale such as the Cline, depending on local geology–that single zone has produced more than 700 bbl/d. Even though horizontal wells cost more than vertical wells, the early completion results show that the economics likely will support drilling a few single-zone horizontals as opposed to a larger number of multiple-zone verticals. It is foreseeable in the very near future that drilling could consist of a dozen vertical wells followed by an additional four horizontal wells in three reservoirs in one square-mile section. Data Integration One area with significant potential for innovation is integrating surface seismic and microseismic data. Bringing microseismic data acquired during frac treatments into the 3-D seismic data model can help identify potential geohazards and eliminate potential problems. In one Wolfberry well, for example, microseismic data indicated the frac treatment had stayed within the target zone during the first stage, but in later stages the induced fractures propagated out of zone, moving 700-800 feet to the southwest, and therefore did not stimulate the reservoirs as anticipated. When we re-examined the high-frequency 3-D seismic data, faults were evident in the upper intervals. Instead of stimulating the perforated section of rock, the treatment reactivated the faults, resulting in the frac stages moving out of zone. By examining the 3-D surface seismic volume with the microseismic data, we were able to better understand the subsurface and how faults could impact treatment effectiveness in the multistage frac intervals. Fasken has traded microseismic survey data with other operators, and has had the opportunity to evaluate the different types of microseismic products available. Some products do a particularly good job of showing the fracture networks created. Mapping these networks on a reservoir scale is critical for figuring out where to place new wells and how to fracture them, and that leads to another question: When drilling horizontally and the seismic data indicate areas along the lateral well path with poor or absent porosity, should those areas be fractured? The industry’s approach has been to perforate and frac at regular intervals of, say, every 200 or 300 feet from the toe to the heel in the lateral. But if the seismic indicates little porosity in a section of the reservoir, and no gas increases were recorded in the mud log during drilling, does it make sense to frac that stage? It is very hard for a company not to perforate every 200 to 300 feet along the well path. But significant cost savings are achievable if one could avoid fracturing 1,000 or more feet of unproductive section in a 5,000-foot lateral, where perhaps the well veered out of zone because of structural changes caused by dip change or faulting, or possibly reservoir porosity was temporarily lost because of a facies change. A huge piece of the puzzle that has not yet fallen completely into place is having the confidence in the geophysical model to make these kinds of engineering determinations, especially if the decision is to not fracture. That leads to the historical pessimism by engi- neers toward geophysics’ creditability in predicting what is ahead of the drill bit. Building Credibility Geophysics utilizes second-order seismic data combined with first-order geologic well data that often results in an answer that is typically not in the order of magnitude that engineers commonly deal with. I often hear my peers challenged on ways to encourage management and engineers to incorporate geophysics in tight oil plays that helps provide significant and credible results to a company’s drilling program, and ultimately, its bottom line. The geophysicist analyzes thousands of seismic traces across several square miles on a macro scale over hundreds and thousands of feet horizontally and tens of feet vertically. And, of course, as we will discuss shortly, these samples or traces are spaced anywhere from 40 to 150 feet apart. The engineer is looking at the reservoir on more of a micro scale of inches or up to several feet. It is the geophysicists’ responsibility to demonstrate to engineers (who usually control the purse strings) how seismic can create value in drilling and completion decision-making processes. One of the fundamental questions is how accurate the seismic needs to be. Geophysics, historically, were an exploration tool, but over the years have helped in development, and finally, tertiary field development. Where the initial exploratory wells were drilled one per section, the margin for error might be 20, 40 or 60 feet or more in subsurface determination of a formation. In the Wolfberry play, where Fasken is drilling vertical wells 660 feet apart on 20- to 40-acre spacing, that margin for error becomes very small. We have observed stretching of wireline cables that demonstrates up to 20 feet of variance for a cased well log, compared with an open-hole log. When most of the wells are logged as cased hole, this can lead to problems for the geophysicist who is converting to depth using formations tops determined by faulty logging tools. To optimize performance long term and to recover more than the typical 10-15 percent of the reserves in a reservoir, operators are going to have to rely on seismic to provide big-picture perspectives and delineate differences across large areas before ultimately creating finer-scale reservoir models. Rather than drilling every section the same, geophysics can help delineate critical reservoir differences to optimize drilling and completion design, and ultimately, improve bottom-line performance. In West Texas, Fasken is analyzing more than 500 square miles of 3-D data across the ranch to high-grade areas in the Wolfberry play and provide structure maps so geologists and engineers can determine the best completion designs during predrill planning. One example is using regional-scale seismic to accurately predict the depths at which drillers can expect to encounter different formations. Another application is identifying anomalies in the seismic data that can indicate drilling hazards. Most of the wells in Fasken’s drilling program employ mud loggers from the San Andres through the Atoka intervals, depths from 5,500 to 11,500 feet. If an anomaly is observed in the seismic data in a shallow- TECHTRENDS2013 er interval such as the Yates or Graysburg/San Andres, a mud logger can be put on the well earlier to deal with any uncertainties. Seismic Inversions Seismic inversions are a critical technology at Fasken Oil and Ranch. I believe post-stack inversions should become an everyday routine (if not already in your shop) for most projects. Inversion allows the different disciplines to speak more closely in a common language. When the geophysicist discusses an amplitude that is higher in one section than another section, the amplitude meaning is difficult to ascertain. But when showing an inversion that has values related to rock properties of velocity and porosity, everyone is on the same page. Fasken is experimenting with shear-wave data derived from sonic logs and bandwidth-extended prestack seismic inversions. As part of prestack inversion processing, we are working with Geotrace Technologies Inc. to calculate elastic modulus and Poisson’s ratio from sonic logs, in addition to the compressional-wave information in the 3-D seismic volume. With a combination of attributes, it becomes possible to obtain information about frac gradients that engineers can use to design completions, especially for the first wells in a new area. The frac gradient in one formation may be 0.56 over part of the ranch and 0.70 at another place, which is a difference to the completions engineer. The interpreter’s goal in a resource play today is to get information on reservoir properties; not simply interpreting peaks, troughs and amplitudes on conventional seismic data, but determining and then relating Elastic modulus, Poisson’s ratio, and other relevant engineering measurements, from seismic and well log data to drilling locales. Utilizing actual P- and S-wave data measurements, when available, could help to better determine rock properties. Fasken realizes the importance of collecting as much data as early as possible in these resource plays, especially open-hole logs. Fasken also is participating in several core consortiums, which is another source of rock property data. That said, it is too early to know how significant a role 3-D seismic shear data can play in drilling vertical or horizontal wells in the Wolfberry. I am not sure shear can provide much benefit for the additional costs when wells are drilled 660 feet apart. However, as the Wolfberry becomes a multilevel horizontal play, adding S-wave data to the P-wave data could yield additional benefits that we have yet to factor in. Seismic surveys Fasken has collected generally are designed to record high-fidelity, high-frequency data with extended bandwidths, and higher fold and smaller bin sizes. We are in the process of acquiring a portion of a survey in the Bone Spring play in New Mexico that was acquired with very wide azimuths, high fold, and much closer bin spacing than anything Fasken has been involved with in the past in this area. One survey that I am familiar with in the play had a very high channel count, and the receiver spread, when activated, covered more than 20 square miles. The goal of these large, high-channel count surveys is to get long offsets, finer spatial sampling, and higher fold in deeper formations. One of our data sets in the Eagle Ford has 60-foot bin spacing and is more than 60 fold at the target interval. Another volume data set we are experimenting with is rangelimited stacks. A common depth point bin in a 3-D seismic data survey that was collected prior to the last five years typically would contain offset ranges from 200 to 14,000 feet because of equipment limitations, resulting in data that would have 40 fold at a target depth of 10,000 feet. With today’s seismic crews possessing higher channel equipment, data collected results in much higher-fold data, such as100 fold at14,000 feet not being uncommon, with 60 fold at 7,000 feet and greater azimuthal range distribution. Other Technologies Other interpretation techniques that Fasken routinely incorporates in its unconventional plays is semblance, maximum curvature, and spectral decomposition calculations, to name a few. Maximum curvature is an important tool in the Eagle Ford, since it is used to highlight possible fracture swarms, and in the Permian Basin plays to incorporate frac stage results for specific intervals. We use spectral decomposition to help highlight sweet spots. With respect to software, geological and geophysical platforms are changing drastically, and independents no longer have to invest huge sums of money to get advanced software capabilities or do without the tools of the big boys. Fasken is using SeisWare™ geophysical interpretation software, which is a relatively low-cost package that possess sophisticated wavelet analysis capabilities, visualization, the ability to interpret data depth or time, and easy data loading both of seismic data and integration of well data from several packages, such as Petra™. The next step is figuring out how geophysicists can better use microseismic data by integrating those data sets into seismic interpretation platforms. Some of the other technologies the company has experimented with include: • Wireless 3-D acquisition; • 3-D spectral decompositioning; • Quantum resonance interferometry and voxel analysis to predict permeability, porosity, and the presence of hydrocarbons from 3-D data; • Reverse-time migrated processing; and • Permanently embedded microseismic monitoring arrays. Fasken deployed wireless sensors in a microseismic survey in the Eagle Ford, laying the survey in an elliptical area covering 30,000 square feet. There is a huge benefit in being able to tell landowners that we are going to install small sensors without cables, using four-wheelers or simply walking in and leaving phones for 10 days before picking them up in the same way. The only concern with wireless geophones for a 3-D seismic survey is that it is difficult to sweep test and perform other parameter testing, and receive the data instantaneously, although the technology is advancing. I am sure data collecting problems will be solved. In addition, wireless sensors can be left in place for long periods (weeks to a month) to record data before phones need to be collected and recharged. I am a big fan of spectral decomposition, where I have used it successfully to highlight conventional reservoirs in carbonates and also in the Spraberry trend to isolate channel sands, and to identify sweet spots in the Lower Eagle Ford. Fasken worked with ViaLogy a couple years ago to test its TECHTRENDS2013 quantum resonance interferometry technology and analyze 3D multicomponent seismic data to locate Strawn targets in a 10-square-mile block of our ranch in the Permian Basin. Strawn Limestone porosities typically are very low, and the technology had some success detecting continuous zones of higher porosity from seismic data. The first well completed using this technology has been one of our best Strawn producers in the area, but we have a lot more testing to do before we have complete confidence in this technique. When this field test was conducted, Fasken was not yet drilling in the Wolfberry. Everything changed when the Wolfberry play took off, and because the technology focuses on porosity, its application is geared toward conventional reservoir settings. However, we are going back into that same acreage to drill through the Wolfberry and test the Strawn formation in each well, so we will be able to verify how well quantum resonance interferometry identifies reservoir rock. We also are very interested to see whether this technology will be able to help identify and high-grade deeper stratigraphic units, such as the Mississippian. Mississippian conventional reservoirs in the basin have recovered more than 350,000 barrels from a single vertical well at 11,500 feet, and companies are looking at this formation as an equivalent to the Bakken as a horizontal target. In fact, one company in the basin has successfully drilled horizontally in this unit and is quite happy with the production stream. Microseismic Monitoring There are several sophisticated software packages for microseismic, but small companies may not conduct enough microseismic surveys to warrant investing in high-end software packages. How can little guys access state-of-the-art microseismic software? I would like to see the industry get these packages out to smaller companies that may do only a couple microseismic surveys each year, or at least provide a reasonably The interpreter’s goal in resource plays is to get information on reservoir properties; not simply interpreting peaks, troughs and amplitudes on conventional seismic data, but relating Elastic modulus, Poisson’s ratio, and other relevant engineering meas- priced service. I believe time-lapse microseismic monitoring is a very good idea. Fasken laid a permanently embedded array consisting of cemented geophones buried 200 feet in the ground over 16 square miles in the Wolfberry play. That way, anytime we completed wells in the area, we would be able to monitor them and be prepared to monitor horizontal completions in other formations (such as the Cline and Strawn) in the future, allowing us to see how those formations fractured differently. Unfortunately, we did not collect usable data from the buried phones. However, this is another technology that is advancing rapidly. Companies are placing an increasing number of advanced phones in the well bore at different intervals, demonstrating the significant potential of time-lapse microseismic monitoring. Time-lapse monitoring also may have a particular application when production declines and refracturing is required. Tight oil zones will need to be refractured at some point, and that makes it all the more imperative to know where frac fluids exited the reservoir rock the first time. To effectively refracture and enhance the stimulated reservoir volume, we must understand the frac system created in the initial treatment. It will not do much good to refrac a 10-stage Wolfberry vertical well or a 22-stage Eagle Ford horizontal well if half the stages are out of zone. Knowing the results of the initial treatment is critical to designing a refracture program. Of course, refracs are one aspect of solving the long-term challenge of improving production and recovery rates in tight oil plays. At the end of the day, optimizing recovery boils down to knowing our reservoirs. It is no different from conventional plays. As an industry, we need to do more reservoir modeling and collect the information necessary to build accurate models to find out how much oil has been recovered and how much reservoir volume is left to stimulate. To accomplish these objectives, geologists, geophysicists urements from seismic and well log data to drilling locales. These images illustrate the differences between an amplitude map and a Poisson’s map in the Eagle Ford Shale play. TECHTRENDS2013 and engineers must work together. Geophysicists have to communicate with engineers in a language they understand. I can talk to an engineer all day about a root mean square amplitude, and it probably will mean nothing to him. However, if I was to tell him the average velocity was 13,000 feet per second in one place and 16,000 feet per second in another, he could understand the concept of fast versus slow rock, and appreciate what it meant to the drilling and completion design. It is clear that all rock is not the same in resource plays. Critical parameters can change from one drill site to another. Should a well be drilled at a given location simply because it adheres to a specified drilling pattern, or should that capital be allocated to locations where seismic data indicate more favorable reservoir properties? Does it may make more economic sense to target a conventional carbonate reservoir with a horizontal well, or complete multiple tight zones in a vertical well? Should all wells complete the same intervals, or can we be selective in determining where to place frac stages? The next step forward for geophysics is to help guide these kinds of critical decisions by applying advanced seismic technologies. ❒ GLENN WINTERS Glenn Winters is the chief geophysicist at Fasken Oil and Ranch Ltd. in Midland, Tx. He began his career in 1981, working as a staff geophysicist for Texaco in the Permian Basin. In 1985, he transferred to Texaco’s Denver office, working in special projects and seismic data processing. Winters returned to the company’s Midland office in 1989, where he interpreted seismic data throughout the Permian Basin. He joined Fasken Oil and Ranch in 2002 as a staff geophysicist. Winters continues to focus on acquiring, processing and interpreting seismic data in the Permian Basin as well as the Eagle Ford Shale play in South Texas. He is a former president of the Permian Basin Geophysical Society. Winters has worked on several projects with Bob Hardage and the Bureau of Economic Geology at the University of Texas over the past several years, including collecting mode-converted seismic data on Fasken-owned and operated properties. He has been instrumental in helping companies test new technologies in a known test area on Fasken’s ranch. Some of the technologies Winters has helped introduce in Fasken’s operations are ViaLogy’s QuantumRD® quantum resonance interferometry software, Wave Imaging Technology’s prestack depth migration algorithms, and Gore Industries’ surface geochemical technology. He holds a B.S. in engineering geology from Purdue University.