石油物探2024，Vol.63Issue(1)：207-216,10.DOI:10.12431/issn.1000-1441.2024.63.01.018
基于岩石力学的井周裂缝流体疏导性分析与产能评价
Fluid conductivity in circumferential fractures and deliverability evaluation based on rock mechanics
摘要
Abstract
Fluid conductivity in near-borehole fractures,which could be effectively identified using electric imaging and dipole shear-wave reflection imaging,is important to hydrocarbon production because fractures function as major reservoir space and flowing channels in fractured reservoirs.We use the 3D Mohr circle in rock mechanics to examine the stress conditions of fractures exten-ding from the borehole wall to reservoirs owing to the effect of terrestrial stress and diagnose the critical stress state of fractures based on the Mohr-Coulomb yielding criteria to evaluate fluid conductivity.Numerical simulations show that stress conditions of different fault types and pore pressure,in addition to terrestrial stress,dominate the critical stress state of fractures.Corrected fric-tional coefficient of fractures derived from the stress conditions of fracture faces may quantitatively indicate fluid conductivity in fractures,and fracture density weighted by corrected frictional coefficient may function as a quantitative indicator of fluid conduc-tivity in the target well section for deliverability evaluation.The application to Bozhong19-6 fractured buried-hill condensate field shows successful quantitative evaluation of fluid conductivity in near-borehole fractures and fracture contribution to deliverability.The results of evaluation consistent with production tests provide support to oil testing and production planning.关键词
裂缝流体疏导性/莫尔圆/莫尔-库仑准则/声波远探测/摩擦系数/产能评价/潜山Key words
fracture fluid conductivity/Mohr circle/Mohr-Coulomb yielding criteria/acoustic remote sensing/frictional coefficient/deliverability evaluation/buried hill分类
天文与地球科学引用本文复制引用
张翰林,苏远大,王淼,唐晓明..基于岩石力学的井周裂缝流体疏导性分析与产能评价[J].石油物探,2024,63(1):207-216,10.基金项目
国家自然科学基金(41821002)、国家重点研发计划(2019YFC0605504)和中海油科技项目(CNOOC-KJ135ZDXM36TJ03TJ-GD2020-01)共同资助.This research is financially supported by the National Natural Science Foundation of China(Grant No.41821002),the National Key R&D Program of China(Grant No.2019YFC0605504)and the CNOOC Science and Technology Project(Grant No.CNOOC-KJ135ZDXM36TJ03TJ-GD2020-01). （41821002）
