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http://dx.doi.org/10.7842/kigas.2020.24.4.62

A Study on the History Matching and Assessment of Production Performance in a Shale Gas Reservoir Considering Influenced Parameter for Productivity  

Park, Kyung-Sick (Dept. of Energy and Resources Engineering, Chonnam National University)
Lee, Jeong-Hwan (Dept. of Energy and Resources Engineering, Chonnam National University)
Publication Information
Journal of the Korean Institute of Gas / v.24, no.4, 2020 , pp. 62-72 More about this Journal
Abstract
This study presents a methodology of history matching to evaluate the productivity of shale gas reservoir with high reliability and predict future production rate in the Horn-River basin, Canada. Sensitivity analysis was performed to analyze the effect of physical properties of shale gas reservoir on productivity. Based on the results, reservoir properties were classified into 4 cases and history matching were performed considering the classified 4 cases as objective function. The blind test was conducted using additional field production data for 3 years after the history matching period. The error of gas production rate in Case 1(all reservoir parameters), Case 2(influenced parameters for productivity), Case 3(controllable parameters), and Case 4(uncontrollable parameters) were 7.67%, 7.13%, 17.54%, and 10.04%, respectively. This means that it seems to be effective to consider all reservoir parameters in early period for 4 years but Case 2 which considered influenced parameters for productivity shows the highest reliability in predicting future production. The estimated ultimate recovery (EUR) of production well predicted using the Case 2 model was estimated to be 17.24 Bcf by December 2030 and the recovery factor compared to original gas in place (OGIP) was 32.2%.
Keywords
shale gas reservoir; multi-stage hydraulic fracturing; sensitivity analysis; history matching; production performance;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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1 Novlesky, A., Kumar, A., Merkle, S., "Shale gas modeling workflow: From microseismic to simulation-A Horn River case study", Canadian Unconventional Resources Conference, Calgary, Alberta, Canada, (2011)
2 Computer Modeling Group, User's Guide CMOST computer assisted history matching, optimization and uncertainty assessment tool, Computer Modeling Group Ltd., Calgary, Alberta, Canada, (2012).
3 Lei, G., Dong, P.C., Yang, S., Li, Y.S., Mo, S.Y., Gai, S.H., and Wu, Z.S., "A new analytical equation to predict gas-water two-phase relative permeability curves in fractures", International Petroleum Technology Conference, Kuala Lumpur, Malaysia, SPE 17966, ( 2014)
4 Jang, H., Lee, J., "Effect of fracture design parameters on the well performance in a hydraulically fractured shale gas reservoir," Energy Exploration & Exploitation, 33(2), 157-168, (2015)   DOI
5 Kim, J.G., Kang, I.O., Shin, C.H., Lee, S.M., and Lee, J.H., "A study on the effect of flow properties in shale gas reservoirs", Journal of the Korean Institute of Gas, 21(2), 50-57, (2017)   DOI
6 Jarvie, D.M., Hill, R.J., Ruble, T.E., and Pollastro, R.M., "Unconventional shale-gas system: The Mississippian Barnett Shale of North-Central Texas as one model for thermogenic shale-gas assessment", AAPG Bulletin, 91(4), 475-499, (2007)   DOI
7 Kundert, D., Mullen, M., "Proper evaluation of shale gas reservoirs leads to a more effective hydraulic-fracture stimulation", SPE 123586. Proceedings of the SPE Rocky Mountain Petroleum Technology Conference, Denver, Colorado, USA, (2009)
8 Diaz, H.G., Lewis, R., Miller, R., and Fuentes, C.C., "Evaluating the impact of mineralogy on reservoir quality and completion quality of organic shale plays", AAPG Rocky Mountain Section Meeting, Salt Lake City, Utah, USA, (2013)
9 Ko, K.N., Jeong, T.J., Kim, K.S., Park, K.S., and Woo, I.S., "A study of shale gas field sweet spot determination process", Journal of the Geological Society of Korea, 52(6), 799-814, (2016)   DOI
10 Kim, T.H., Park, K. and Lee, K.S., "Application of type curves for pressure transient analysis of multiple fractured horizontal wells in shale gas reservoirs", International Journal Oil. Gas and Coal Technology, 12(4), 359-378, (2016)   DOI
11 Zhang, H., Wang, J., and Zhang H., "Investigation of the main factors during shale-gas production using Grey relation analysis", The Open Petroleum Engineering Journal, 9, 207-215, (2016)   DOI
12 Warpinski, N.R., and Teufel, L.W., "Influence of geologic discontinuities on hydraulic fracture propagation", J. Pet. Technol., 39(2), SPE-13224-PA, (1987)
13 Wang, H.Y., "What factors control shale-gas production and production-decline trend in fractured systems: A comprehensive analysis and investigation", SPE/IAEE Hydrocarbon Economics and Evaluation Symposium, Houston, Texas, USA, SPE-179967-MS, (2017)
14 Reynolds, M.M., Munn, D.L., "Development update for an emerging shale gas giant field - Horn River basin, British Columbia, Canada", SPE Unconventional Gas Conference, Pittsburgh, Pennsylvania, USA, (2010)
15 Petrel Roberston Consulting Ltd., "Horn River Basin aquifer characterization geological report", prepared for Horn River Basin Producers Group Geoscience BC, (2010)
16 Cipolla, C.L., Warpinski, N.R., Mayerhofer, M.J., Lolon, E.P. and Vincent, M.C., "The relationship between fracture complexity, reservoir properties, and fracture treatment design", SPE Production & Operations, 25(4), 438-452, SPE 115769, (2008)