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- W2765340649 abstract "Abstract The integration data model between geology and engineering is proposed to tackle the key issue of improving average well production by making development plans in a reverse manner and conducting dynamic researches that have foresight, target ability, forecast ability, guidability, pragmaticality, and time effectiveness, accompanied by their instant applications. The model takes 3D geologic models as the core and the unified investigations of geology and reservoir as the foundation, with the complicated relationships and operation difficulties at all development phases considered. All sections are logically combined with each other and are scheduled in a global way where the integration between geology and engineering is taken as the guide, reservoir stimulation as the focus, maximizing production as the target, and factory-like operation as the measure. The fundamental geological and engineering factors that affect the productivity is analyzed, and the adaptivities of well completion and fracturing techniques are systematically assessed with in-depth investigations into the reservoir physical properties, geomechanics, fracture features, well layout and drilling, reservoir stimulation, and liquid discharge for production, et al. Assisted by effective organization, management, and operation practice, rapid accumulation and enrichment of operation experiences and multi-disciplined knowledge covering well drilling and cementation, fracturing, and production and its test production are achieved. Economic development is fulfilled in tight reservoirs by hierarchically and dynamically optimizing engineering efficiency and development profit that arise from continually adjusting and perfecting technical projects related to well drilling, fracturing, and so on." @default.
- W2765340649 created "2017-11-10" @default.
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- W2765340649 date "2017-10-17" @default.
- W2765340649 modified "2023-09-26" @default.
- W2765340649 title "A New Practical Approach to Building Tight Reservoir Development Integration Data Model in China" @default.
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- W2765340649 doi "https://doi.org/10.2118/186983-ms" @default.
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