一种由地质力学和多因素驱动的离散裂缝网络建模的创新方法

IF 4.6 0 ENERGY & FUELS
Qiqiang Ren , Tongsheng Liu , Dongping Wan , Jin Wang , Rongtao Jiang , Mengping Li , Yegang Feng , He Du
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引用次数: 0

摘要

克深8气田储层深度超过6000 m,由于地层压实和胶结作用强烈,基质性质较差,主要依靠构造裂缝来提高渗透率。本研究旨在为建立考虑地质力学特征的离散断裂模型提供一种新的方法。通过现场观察、岩心样品、成像测井和薄片分析相结合,分析了裂缝的属性、分布和发育情况。通过对构造影响和储层特征的评价,找出控制裂缝形成和发育的关键因素。基于多尺度、多约束原则构建了离散裂缝网络(DFN)模型,并通过与现场数据对比验证了模型的可靠性。结果表明:(1)裂缝体系以窄缝为主,以高角缝为主;裂隙多为局部充填,充填材料以石膏和方解石为主。裂缝密度主要在0.41 ~ 0.76条/m之间,以NNW-SSE和NEE-SWW方向为主。(2)裂缝在断层附近,尤其是大断层附近更为发育,层厚影响裂缝密度,在泥岩和砂岩层中尤为明显。(3)三次主要构造事件对裂缝发育有影响,其中第三纪中新世—上新世的构造事件对裂缝发育影响最大。(4)结合应力场、断层邻近度、岩性等多种地质因素,构建了地质力学驱动的裂缝强度模型,更准确地表征了储层裂缝网络。该研究结果为气藏开发的裂缝表征和建模提供了有价值的见解,有助于更准确的油藏模拟和管理。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An innovative approach to discrete facture network modeling driven by geomechanics and multiple factors
The Keshen 8 gas field, with reservoirs exceeding 6000 m in depth, relies on structural fractures to enhance permeability due to poor matrix properties resulting from intense compaction and cementation. This study aims to conduct a new approach to establish the discrete fracture model considering geomechanical characteristics. Through a combination of field observations, core samples, imaging logging, and thin section analysis, fracture attributes, distribution, and development were analyzed. Structural influences and reservoir characteristics were evaluated to identify the key factors controlling fracture formation and development. A discrete fracture network (DFN) model was constructed based on multi-scale and multi-constraint principles, with model reliability verified through comparison with field data. The results showed that: (1) Sear fractures dominated the fracture system, with high-angle fractures being the most prevalent. The fractures are mostly partially filled, with gypsum and calcite as the main filling materials. Fracture density primarily ranges from 0.41 to 0.76 fractures/m, with dominant orientations in the NNW-SSE and NEE-SWW directions. (2) Fractures are more developed near faults, especially near major faults, with layer thickness influencing fracture density, particularly in mudstone and sandstone layers. (3) Three major tectonic events have influenced fracture development, with the most significant fractures occurring during the third event in the Miocene-Pliocene. (4) A geomechanical-driven fracture strength model was constructed by combining various geological factors, including stress fields, fault proximity, and lithology, resulting in a more accurate representation of the fracture network in the reservoir. The findings of this research provide valuable insights into fracture characterization and modeling for gas reservoir development, contributing to more accurate reservoir simulation and management.
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