塔里木盆地库车坳陷超深层储层地质力学参数综合评价方法及应用

Ke Xu , Hui Zhang , Weike Ning , Jingrui Liang , Jianli Qiang , Xin Wang , Penglin Zheng , Ziwei Qian , Yu Zhang , Fang Yuan
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引用次数: 0

摘要

储层评价是沉积盆地油气甜点识别的重要内容。塔里木盆地也是如此,超深层含油气地层由于多阶段的构造演化,除了深度相当外,现今地应力和地热温度也很高。传统储层评价方法主要基于对储层孔隙度、渗透率、孔喉结构等参数的分析;在结构复杂的地区,这些参数有时会发生巨大变化。以地质力学为基础的储层评价因能充分反映构造作用对储层的影响而受到青睐,特别是在塔里木盆地。通过将弹性模量、天然裂缝密度、现今地应力等地质力学参数整合到基于三维地质建模的储层评价中,对塔里木盆地库车坳陷超深部碎屑岩储层进行评价。引入熵权法,建立储层评价的综合指标Q。结果表明,研究区代表性井的日产气量与该指标正相关,是超深部复杂构造区储层评价的有效方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Geomechanical parameter-driven evaluation of ultra-deep reservoirs: An integrated methodology and its application to the Kuqa depression, Tarim Basin

Geomechanical parameter-driven evaluation of ultra-deep reservoirs: An integrated methodology and its application to the Kuqa depression, Tarim Basin
Reservoir evaluation is important in identifying oil and gas sweet spots in sedimentary basins. This also holds true in the Tarim Basin, where the ultra-deep oil and gas-bearing formations have high present-day in situ stress and geothermal temperature in addition to their considerable depth as a result of multiple stages of tectonic evolution. Traditional reservoir evaluation methods are based mainly on analyses of reservoir parameters like porosity, permeability, and pore throat structure; these parameters can sometimes vary dramatically in areas with complex Structures. Geomechanics-based reservoir evaluations are favored as they adequately capture the impact of tectonic processes on reservoirs, especially those in the Tarim Basin. This study evaluates the ultra-deep clastic reservoirs in the Kuqa Depression of the Tarim Basin by integrating the geomechanical parameters including elastic modulus, natural fracture density, and present-day in situ stress into a 3D geological modeling-based reservoir evaluation. The entropy weight method is introduced to establish a comprehensive index (Q) for reservoir evaluation. The results show that the positive correlation of the daily gas production rate of representative wells in the study area with this indicator is an effective way of reservoir evaluation in ultra-deep areas with complex structures.
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