Stochastic lithofacies and petrophysical property modeling for fast history matching in heterogeneous clastic reservoir applications
- 관리정보기술 faculty
- 등재 SCIE, SCOPUS
- OA유형 Gold Open Access
- 발행기관 Nature Research
- 발행년도 2024
- URI http://www.dcollection.net/handler/ewha/000000213709
- 본문언어 영어
- Published As https://doi.org/10.1038/s41598-023-50853-3
- PubMed 38167893
초록/요약
For complex and multi-layered clastic oil reservoir formations, modeling lithofacies and petrophysical parameters is essential for reservoir characterization, history matching, and uncertainty quantification. This study introduces a real oilfield case study that conducted high-resolution geostatistical modeling of 3D lithofacies and petrophysical properties for rapid and reliable history matching of the Luhais oil reservoir in southern Iraq. For capturing the reservoir's tidal depositional setting using data collected from 47 wells, the lithofacies distribution (sand, shaly sand, and shale) of a 3D geomodel was constructed using sequential indicator simulation (SISIM). Based on the lithofacies modeling results, 50 sets of porosity and permeability distributions were generated using sequential Gaussian simulation (SGSIM) to provide insight into the spatial geological uncertainty and stochastic history matching. For each rock type, distinct variograms were created in the 0° azimuth direction, representing the shoreface line. The standard deviation between every pair of spatial realizations justified the number of variograms employed. An upscaled version of the geomodel, incorporating the lithofacies, permeability, and porosity, was used to construct a reservoir-flow model capable of providing rapid, accurate, and reliable production history matching, including well and field production rates. © 2024, The Author(s).
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