Integrated application of 3D seismic and microseismic data in the development of tight gas reservoirs
Yang Rui-Zhao1, Zhao Zheng-Guang1, Peng Wei-Jun1, Gu Yu-Bo1, Wang Zhan-Gang1, and Zhuang Xi-Qin2
1. School of Geoscience and Surveying Engineering, China University of Mining & Technology, Beijing 100083, China.
2. Geophysical Prospecting Company of SINOPEC North China Bureau, Xinxiang 453000, China.
Abstract：
The development of unconventional resources, such as shale gas and tight sand gas, requires the integration of multi-disciplinary knowledge to resolve many engineering problems in order to achieve economic production levels. The reservoir heterogeneity revealed by different data sets, such as 3D seismic and microseismic data, can more fully reflect the reservoir properties and is helpful to optimize the drilling and completion programs. First, we predict the local stress direction and open or close status of the natural fractures in tight sand reservoirs based on seismic curvature, an attribute that reveals reservoir heterogeneity and geomechanical properties. Meanwhile, the reservoir fracture network is predicted using an ant-tracking cube and the potential fracture barriers which can affect hydraulic fracture propagation are predicted by integrating the seismic curvature attribute and ant-tracking cube. Second, we use this information, derived from 3D seismic data, to assist in designing the fracture program and adjusting stimulation parameters. Finally, we interpret the reason why sand plugs will occur during the stimulation process by the integration of 3D seismic interpretation and microseismic imaging results, which further explain the hydraulic fracture propagation controlling factors and open or closed state of natural fractures in tight sand reservoirs.
YANG Rui-Zhao,ZHAO Zheng-Guang,PENG Wei-Jun et al. Integrated application of 3D seismic and microseismic data in the development of tight gas reservoirs[J]. APPLIED GEOPHYSICS, 2013, 10(2): 157-169.
[1]
Birkelo, B., Goertz, A., LaBarre, E., et al., 2011, Locating high-productive areas of tight gas-sand reservoirs using LF seismic surveys: 73rd EAGE Conference and Exhibition Incorporating SPE EUROPEC, C016.
[2]
Blumentritt, C. H., Marfurt, K. J., and Sullivan, E. C., 2006, Volume-based curvature computations illuminate fracture orientations—Early to Mid-Paleozoic, Central Basin Platform, West Texas: Geophysics, 71(5), B159 - B166.
[3]
Chopra, S., and Marfurt, K. J., 2007a, Curvature attribute applications to 3D surface seismic data: The Leading Edge, 26(7), 404 - 414.
[4]
Chopra, S., and Marfurt, K. J., 2007b, Volumetric curvature attributes for fault/fracture characterization: First Break, 25(5), 35 - 46.
[5]
Chopra, S., and Marfurt, K. J., 2008, Emerging and future trends in seismic attributes: The Leading Edge, 27(3), 298 - 318.
[6]
Chopra, S., and Marfurt, K. J., 2010, Integration of coherence and volumetric curvature images: The Leading Edge, 29(9), 1092 - 1107.
[7]
Duan, C. J., Chen, L. Y., and Wu, H. N., 2009, Development geological characteristics of the Lower Permian overlapping reservoirs in Daniudi Gas Field: Petroleum Geology and Experiment, 31(5), 495 - 499.
[8]
Duncan, M. P., and Eisner, L., 2010, Reservoir characterization using surface microseismic monitoring: Geophysics, 75(5), 75A139 - 75A146.
[9]
Frohne, K.-H., and Mercer, J. C., 1984, Fractured shale gas reservoir performance study- an offset well interference field test: Journal of Petroleum Technology, 36(2), 291 - 300.
[10]
Grechka, V., Mazumdar, P., and Shapiro, S. A., 2010, Predicting permeability and gas production of hydraulic fractured tight sands from microseismic data: Geophysics, 75(1), B1 - B10.
[11]
Hanssen, P., and Bussat, S., 2008, Pitfalls in the analysis of low frequency passive seismic data: First Break, 26(6), 111 - 119.
[12]
Hart, B. S., 2006, Seismic expression of fracture-swarm sweet spots, Upper Cretaceous tight-gas reservoirs, San Juan Basin: AAPG Bulletin, 90(10), 1519 - 1534.
[13]
Kiselevitch, V. L., Nikolaev, A. V., Troitskiy, P. A., et al., 1991, Emission tomography: Main ideas, results, and prospects: 61st Ann. Internat. Mtg., Soc. Expl. Geophys., Expanded Abstracts, 1602 - 1602.
[14]
Lakings, J. D., Duncan, P. M., Neale, C., et al., 2006, Surface based microseismic monitoring of a hydraulic fracture well stimulation in the Barnett Shale: 76th Ann. Internat. Mtg., Soc. Expl. Geophys., Expanded Abstracts, 605 - 608.
[15]
Lin, C. M., Zhang, X., Zhou, J., et al., 2011, Diagenesis characteristics of the reservoir sandstones in Lower Shihezi Formation from Daniudi Gas Field, Ordos Basin: Advances in Earth Science, 26(2), 212 - 223.
[16]
Maxwell, S., 2010, Microseismic: Growth born from success: The Leading Edge, 29(3), 338 - 343.
[17]
Maxwell, S., Rutledge, J., Jones, R., et al., 2010, Petroleum reservoir characterization using downhole microseismic monitoring: Geophysics, 75(5), 75A129 - 75A137.
[18]
Maxwell, S., Cho, D., and Nortan, M., 2011, Integration of surface seismic and microseismic Part 2: Understanding hydraulic fracture variability through geomechanical integration: CSEG Recorder, 36(2), 27 - 30.
[19]
Nelson, R., 2001, Geologic analysis of naturally fractured reservoirs: Elsevier, 125 - 162.
[20]
Nortan, M., Cho, D., and Maxwell, S., 2011, Integration of surface seismic and microseismic for the characterization of a shale gas reservoir: CSEG Recorder, 36(1), 31 - 33.
[21]
Refunjol, X. E., Marfurt, K. J., and Calvez, J. L., 2011, Inversion and attribute-assisted hydraulically induced microseismic fracture characterization in the North Texas Barnett Shale: The Leading Edge, 30(3), 292 - 299.
[22]
Refunjol, X. E., Marfurt, Keranen, K. M., and Calvez, J. L., et al., 2012, Integration of hydraulic induced microseismic event locations with active seismic attributes: A North Texas Barnett Shale case study: Geophysics, 77(3), KS1 - KS12.
[23]
Ringrose, P., Atbi, M., Mason, D., et al., 2009, Plume development around well KB-502 at the In Salah CO2 storage site: First Break, 27(1), 85 - 89.
[24]
Rutledge, J. T., and Phillips, W. S., 2003, Hydraulic stimulation of natural fractures as revealed by induced microearthquakes, Carthage Cotton Valley gas field, East Texas: Geophysics, 68(2), 441 - 452.
[25]
Shemeta, J., and Anderson, P., 2010, It’s a matter of size: Magnitude and moment estimates for microseismic data: The Leading Edge, 29(3), 296 - 302.
[26]
Shen, C., Liang, B. Y., and Li, Z. T., 2009, Principle of vector scanning technique for micro-fractures: Acta Petrolei Sinica, 30(5), 744 - 748.
[27]
Sheriff, R. E. 1991, Encyclopedic dictionary of exploration geophysics, 3rd Edition: SEG Geophysical References Series No.12, 264.
[28]
Shi, J., 2009, Application of ant tracking technology in small fault interpretation: Journal of Oil and Gas Technology, 31(20), 257 - 258.
[29]
Song, W. Q., Chen, Z. D., and Mao, Z. H., 2008, Hydro-fracturing break microseismic monitoring technology: China University of Petroleum Press, China, 1 - 3.
[30]
Vaidya, V., 2009, Low frequency seismic- A new tool for exploration and development: Drilling and Exploration World, 19(2), 33 - 37.
[31]
Yenugu, M., and Marfurt, K. J., 2011, Relation between seismic curvatures and fractures identified from image logs - application to the Mississipian reservoirs of Oklahoma, USA: 81st Ann. Internat. Mtg., Soc. Expl. Geophys., Expanded Abstracts, 995 - 998.
[32]
Zhang, X., 2010, Application of ant tracing algorithm in fault automatic interpretation: a case study on Fangheting structure in Pinghu Oilfield: Oil Geophysical Prospecting, 45(2), 278 - 281.
2013, Vol. 10 
