Field Study: Embedded Discrete Fracture Modeling with Artificial Intelligence in Permian Basin for Shale Formation
- Song Du (Chevron) | Baosheng Liang (Chevron) | Lin Yuanbo (Chevron)
- Document ID
- Society of Petroleum Engineers
- SPE Annual Technical Conference and Exhibition, 9-11 October, San Antonio, Texas, USA
- Publication Date
- Document Type
- Conference Paper
- 2017. Society of Petroleum Engineers
- 1.6.6 Directional Drilling, 2 Well completion, 7 Management and Information, 1.6 Drilling Operations, 3 Production and Well Operations, 7.6.6 Artificial Intelligence, 7.6 Information Management and Systems
- Embedded Discrete Fracture, Permian Basin, Optimization, Artificial Intelligence
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Even with the current low oil price environment, oil and gas production from shale formations becomes increasingly important. The drilling and exploration activities in the Permian Basin are the most active unconventional play in the U.S. Therefore, engineers need effective and efficient full field planning and development strategies for an economically successful project. Since in the coming years, thousands of horizontal well drilling activities are expected, field planning, such as the well landing design, spacing study, and operational sequence, could have huge impacts on economic field development. Full field models using unstructured grids can capture detailed geometry information like fracture distribution. It is, however, computationally expensive and often numerically unstable (convergence issues). We investigated the embedded discrete fracture modeling (EDFM) with artificial intelligence (AI) to overcome challenges associated with the unstructured modeling.
We applied the concept of EDFM, in which a fracture is embedded in the structured matrix grid that does not conform to the discrete fractures. EDFM uses relatively low matrix resolution but honors fracture geometry and connectivity: fracture orientation, shapes, and intersections. As a result, the flow behavior in fractures is well preserved. Furthermore, EDFM has a large advantage of computational efficiency, compared to unstructured full-field models. We also proposed to employ AI techniques to optimize the hydraulic fracture networks by identifying the most important fracture geometries and eliminating the unpropped structures. Our study combines EDFM and AI techniques to make numerous full field simulation runs making the uncertainty analysis affordable for better planning decisions.
In this study, we verified the effectiveness and efficiency of EDFM and AI techniques with various models. Then we applied the technique for a full field well interference study to guide the development sequence. In the full-field Permian Basin case study, the new method accurately captured the influence among four neighboring horizontal wells. The results are very close to the reference solution from full field unstructured simulations, but with a huge improvement in efficiency.
|File Size||1 MB||Number of Pages||12|
Cipolla, C. L., Lolon, E. P., Erdle, J. C., and Rubin, B. 2010. Reservoir Modeling in Shale-Gas Reservoirs. SPE Reservoir Evaluation & Engineering 13 (4): 638–653. SPE-125530-PA. doi:10.2118/125530-PA
Edwards, D. A., Cheng, N., Dombrowsky, T. P., Bowen, G. and Nasvik, H. 2013. Representing Hydraulic Fractures Using a Multilateral, Multisegment Well in Simulation Models. Presented at the SPE Reservoir Simulation Symposium, The Woodlands, Texas, USA, 18-20 February. SPE-163644-MS. doi: 10.2118/163644-MS.
Fisher, M. K., Heinze, J. R., Harris, C. D., Davidson, B. M., Wright, C.A.and Dunn, K.P. 2004. Optimizing Horizontal Completion Techniques in the Barnett Shale Using Microseismic Fracture Mapping. Presented at the SPE Annual Technical Conference and Exhibition, Houston, Texas, USA, 26–29 September. SPE-90051-MS. doi: 10.2118/90051-MS.
Fisher, M. K., Wright, C. A., Davidson, B. M., Steinsberger, N. P., Buckler, W. S., Goodwin, A. and Fielder, E.O. 2005. Integrating Fracture Mapping Technologies To Improve Stimulations in the Barnett Shale. SPE Production & Facilities 20 (2): 85–93. SPE-77441-PA. doi: 10.2118/77441-PA.
Li, L. and Lee, S.H. 2008. Efficient Field-Scale Simulation of Black Oil in a Naturally Fractured Reservoir Through Discrete Fracture Networks and Homogenized Media. SPE Reservoir Evaluation & Engineering 11 (4): 750–758. SPE-103901-PA. doi: 10.2118/103901-PA.
Moinfar, A., Varavei, A., Sepehrnoori, K. and Johns, R.T. 2014. Development of an Efficient Embedded Discrete Fracture Model for 3D Compositional Reservoir Simulation in Fractured Reservoirs. SPE Journal 19 (2): 289–303. SPE-154246-PA. doi: 10.2118/154246-PA.
Oruganti, Y., Mittal, R., McBurney, C. J., and Rodriguez Garza, A. 2015. Re-Fracturing in Eagle Ford and Bakken to Increase Reserves and Generate Incremental NPV: Field Study. Presented at the SPE Hydraulic Fracturing Technology Conference, The Woodlands. Texas, USA, 3–5 February. SPE-173340-MS. doi:10.2118/173340-MS
Peaceman, D. W. 1978. Interpretation of Well-Block Pressures in Numerical Reservoir Simulation (includes associated paper 6988). Society of Petroleum Engineers Journal 18 (3): 183–194. SPE-6893-PA. doi: 10.2118/6893-PA.
Tavassoli, S., Yu, W., Javadpour, F., and Sepehrnoori, K. 2013a. Selection of Candidate Horizontal Wells and Determination of the Optimal Time of Refracturing in Barnett Shale (Johnson County). Presented at the SPE Unconventional Resources Conference Canada, Calgary, Alberta, Canada, 5–7 November. SPE-167137-MS. doi:10.2118/167137-MS
Sun, J., Schechter, D., Huang, C. 2016. Gird-Sensitivity Analysis and Comparison between Unstructured Perpendicular Bisector and Structured Tartan/Local-Grid-Refinement Grids for Hydraulically Fractured Horizontal Wells in Eagle Ford Formation with Complicated Natural Fractures. SPE Journal. SPE 177480-PA.