Co-Development of Multiple Targets in Permian Unconventional Reservoirs

Richard Cao, Chaohui Chen, A. Girardi, Ruijian Li, N. Chowdhury
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引用次数: 0

Abstract

Optimum co-development layout of multiple targets for unconventional reservoirs is extremely challenging due to complex 3-dimentional well interactions, stochastic well performance, complex fracture geometry, dynamic SRV/DRV evolution, heterogeneous rock properties, various operating conditions, and different economic drivers. In this study, an integrated workflow is developed and applied for co-development of multiple targets in Permian unconventional reservoirs. In this workflow, the field pilot and trial measurements, Microseismic, geochemistry measurement, data analytics, detailed geomechanical and reservoir modeling, stochastic multiple history matching and forecast, all combined to quantify the horizontal and vertical interference factors and obtain production profiles for different co-development designs. The stochastic behavior of the well performance is explored from three different aspects: static rock properties, dynamic fracturing, and production. The SRV/DRV evolution are presented as the probability distribution function of half fracture length from Microseismic data and effective drainage half-length from stochastic modeling.
二叠系非常规油藏多目标协同开发
由于复杂的三维井间相互作用、随机井动态、复杂的裂缝几何形状、动态SRV/DRV演化、非均质岩石性质、各种操作条件和不同的经济驱动因素,非常规油藏多目标协同开发布局极具挑战性。本文提出了二叠系非常规油藏多目标协同开发的集成工作流程。在该工作流程中,现场试验和试验测量、微地震、地球化学测量、数据分析、详细地质力学和油藏建模、随机多重历史匹配和预测,所有这些都结合起来,量化了水平和垂直干扰因素,并获得了不同联合开发设计的生产剖面。从静态岩石特性、动态压裂和生产三个不同的方面探讨了井动态的随机行为。根据微震数据和随机模型,将SRV/DRV演化表示为裂缝半长度的概率分布函数和有效排水半长度的概率分布函数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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