Comprehensive geological modeling technology for shale gas reservoirs

被引：0
|
作者：
Long S. [1 ,2 ]
Zhang Y. [2 ]
Li J. [3 ]
Sun Z. [1 ,2 ]
Shang X. [2 ]
Dai C. [1 ,2 ]
机构：
[1] Sinopec Key Laboratory of Shale Oil/Gas Exploration and Production Technology, Beijing
[2] Sinopec Petroleum Exploration and Production Research Institute, Beijing
[3] Paradigm Technology <Beijing> Co., Ltd., Beijing
来源：
Natural Gas Industry | 2019年 / 39卷 / 03期
关键词：
Comprehensive geological model; Frame model; Matrix property model; Hydraulic fracture model; Modeling technology; Nature fracture model; Shale gas reservoir; Step-by-step integration and superposition;
D O I：
10.3787/j.issn.1000-0976.2019.03.006
中图分类号：
学科分类号：
摘要：
At present, the technical ideas and implementation modes adopted in the geological modeling of shale gas reservoirs are mainly derived from those used in conventional oil and gas reservoirs, so they are not applicable to shale gas reservoirs. Moreover, there are few reports on the results of shale gas geological modeling at home and abroad. In view of this, a technical process of geological modeling for shale gas reservoirs was firstly established according to its particularity. Secondly, a structure and shale sublayer development model for the working area was established based on logging interpretation results, pre-stack and post-stack seismic interpretation data and geological test analysis results of samples. Thirdly, property models of shale gas reservoirs, including thickness, porosity, gas saturation, TOC, silicon content and brittleness index, were established using geostatistic modeling method in the frame model. Fourthly, a natural fracture DFN model was established using the object-based modeling method, based on seismic AFE attribute, structural curvature and strain and dilatation data, combined with geological knowledge and drilling display. Fifthly, a hydraulic fracture model was established based on the estimate of hydraulic fracture distribution pattern and the parameter fitting analysis. Finally, a comprehensive geological model for shale gas reservoirs was established by virtue of step-by-step superposition. What’s more, it was applied to the production history matching and performance prediction of shale gas wells. And the following research results were obtained. First, the geological modeling of shale gas reservoirs is more complex than that of conventional oil and gas reservoirs, and the complexities are presented as difficult classification and correlation of sublayers, multiple matrix parameters restricting each other, diverse geneses and sizes of natural fractures, and complicated distribution of hydraulic fractures under the interference and influence of natural fractures. Second, the natural fracture DFN model is capable of describing the geometrical shape and distribution of fracture system effectively and finely, and the hydraulic fracture model can better embody the distribution of hydraulic fractures and the stimulated reservoir volume (SRV). The establishment of the comprehensive geological model for shale gas reservoirs can be realized by progressively integrating and superposing the structure and sublayer development model, the multi-matrix property parameter model, the multi-scale natural fracture model and the hydraulic fracture model under the constraint of multi-scale natural fracture model. Third, production history matching results of gas wells show that the error of bottomhole pressure is lower than 3.3%, which indicates that the newly established comprehensive geological model of shale gas reservoirs is reliable. In conclusion, the modeling process and method developed in this paper can be used as reference in the establishment of a comprehensive geological model for shale gas reservoirs. © 2019, Natural Gas Industry Journal Agency. All right reserved.
引用
收藏
页码：47 / 55
页数：8
相关论文
共 31 条
  • [1] Fisher M.K., Wright C.A., Davidson B.M., Goodwin A.K., Fielder E.O., Buckler W.S., Et al., Integrating fracture mapping technologies to optimize stimulations in the Barnett Shale, SPE Annual Technical Conference and Exhibiton, (2002)
  • [2] Du C., Zhang X., Melton B., Fullilove D., Suliman B., Gowelly S., Et al., A workflow for integrated Barnett Shale gas reservoir modeling and simulation, The 2009 SPE Latin American and Caribbean Petroleum Engineering Conference, (2009)
  • [3] Gale J.F.W., Reed R.M., Holder J., Natural fractures in the Barnett Shale and their importance for hydraulic fracture treatments, AAPG Bulletin, 91, 4, pp. 603-622, (2007)
  • [4] Jugal K.G., Richard A.A., Matias G.Z., Yao Y., Elizabeth T., Shalawn K.J., Et al., Integration for fracture, reservoir, and geomechanics modeling for shale gas reservoir development, SPE Unconventional Gas Conference and Exhibition, (2013)
  • [5] Kudapa V.K., Kumar S., Gupta D.K., Sharma P., Kunhabdulla R., Modelling of gas production from shale matrix to fracture network, SPE Intelligent Oil and Gas Symposium, (2017)
  • [6] Diaz de Souza O.C., Sharp A.J., Martinez R.C., Foster R.A., Simpson M.R., Piekenbrock E.J., Et al., Integrated unconventional shale gas reservoir modeling: A worked example from the Haynesville Shale, De Soto parish, North Lousiana, Americas Unconventional Resources Conference, (2012)
  • [7] John H., Civan F., Michel-Villazon G., Devegowda D., Sigal R., Modeling multiple-porosity transport in gas-bearing shale formation, SPE Latin American and Caribbean Petroleum Engineering Conference, (2012)
  • [8] Porta G.D., Kenter J.A.M., Immenhauser A., Bahamonde J.R., Lithofacies Character and Architecture Across a Pennsylvanian Inner-Platform Transect (Sierra de Cuera, Asturias, Spain), Journal of Sedimentary Research, 72, 6, pp. 898-916, (2002)
  • [9] Falivene O., Arbues P., Gardiner A., Pickup G., Munoz J.A., Cabrera L., Best practice stochastic facies modeling from a channel-fill turbidite sandstone analog (the Quarry outcrop, Eocene Ainsa Basin, Northeast Spain), AAPG Bulletin, 90, 7, pp. 1003-1029, (2006)
  • [10] Wang G., Carr T.R., Organic-Rich Marcellus Shale Lithofacies Modeling and Distribution Pattern Analysis in the Appalachian Basin, AAPG Bulletin, 97, 12, pp. 2173-2205, (2013)
1234