Future potential research hotspots on the precise integration of geology and engineering in low-permeability oil reservoirs
Keywords:
Integrating geology and engineering, low-permeability oil reservoirs, sedimentary facies, start-up pressure gradient, advantageous displacement pathsAbstract
While petroleum scientists and engineers have increasingly acknowledged the significance of integrating geology with engineering for efficient petroleum development, the precise integration of above two aspects still requires substantial enhancement. This study identifies several potential future research hotspots in the precise integration of geology and engineering within low-permeability oil reservoirs. These include the accurate identification of sedimentary facies, which is constrained by horizontal wellbore logging, the three-dimensional continuous distribution modeling of heterogeneous start-up pressure gradients, and the determination of advantageous oil displacement paths driven by geomodels. The recommendation for future research is to employ advanced data analysis techniques to determine the correlation between experimental data at a small core scale indoors and multifunctional logging data. Additionally, fine geological modeling methods should be utilized to develop heterogeneous continuous distribution models of diverse reservoir geology and development attributes. This work offers several fresh perspectives for the efficient exploitation of Chinas continental low-permeability oil reservoirs in subsequent stages.
Document Type: Perspective
Cited as: Du, S., Bai, L. Future potential research hotspots on the precise integration of geology and engineering in low-permeability oil reservoirs. Advances in Geo-Energy Research, 2024, 14(1): 4-7. https://doi.org/10.46690/ager.2024.10.02
ReferencesEl-Gendy, N., Radwan, A., Waziry, M., et al. An integrated sedimentological, rock typing, image logs, and artificial neural networks analysis for reservoir quality assessment of the heterogeneous fluvial-deltaic Messinian Abu Madi reservoirs, Salma field, onshore East Nile Delta, Egypt. Marine and Petroleum Geology, 2022, 145: 105910.
Garcia, L., Abel, M., Perrin, M., et al. The GeoCore ontology: A core ontology for general use in geology. Computers & Geosciences, 2020, 135: 104387.
Guo, J., Wang, X., Wang, J., et al. Three-dimensional geo logical modeling and spatial analysis from geotechnical borehole data using an implicit surface and marching tetrahedra algorithm. Engineering Geology, 2021, 284: 106047.
Hussain, S., Regenauer-Lieb, K., Zhuravljov, A., et al. Asymp totic hydrodynamic homogenization and thermodynamic bounds for upscaling multiphase flow in porous media. Advances in Geo-Energy Research, 2023, 9(1): 38-53.
Hu, W. Geology-engineering integration-a necessary way to realize profitable exploration and development of com plex reservoir. China Petroleum Exploration, 2017, 22(1): 1-5. (in Chinese)
Ji, B., Fang, J. An overview of efficient development practices at low permeability sandstone reservoirs in China. Energy Geoscience, 2023, 4(3): 100179.
Jolie, E., Scott, S., Faulds, J., et al. Geological controls on geothermal resources for power generation. Nature Reviews Earth & Environment, 2021, 2(5): 324-339.
Olierook, H., Scalzo, R., Kohn, D., et al. Bayesian geolog ical and geophysical data fusion for the construction and uncertainty quantification of 3D geological models. Geoscience Frontiers, 2021, 12(1): 479-493.
Shi, C., Wang, Y. Data-driven construction of three dimensional subsurface geological models from limited site-specific boreholes and prior geological knowledge for underground digital twin. Tunnelling and Under ground Space Technology, 2022, 126: 104493.
Zhao, A., Du, S. Hydration-induced damage of tight con glomerates. Chemical Engineering Journal, 2024, 495: 153426.
