将数字岩石分析与岩心、测井数据相结合,改进富有机质页岩储层评价

Yong He, Liwei Jiang, L. Chi, X. Wang, Qiang Chen, S. Roth, Hu Dong
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引用次数: 0

摘要

为了可靠地评估中国富有机质页岩地层的岩石物理、地球化学和地质力学性质,我们将数字岩石分析(DRA)与常规岩心数据和测井解释相结合。(1)结合孔隙尺度(数字岩石)、岩心尺度和测井尺度数据,建立完整、准确的五峰—龙马溪页岩气储层评价模型;(b)准确表征该地层微观尺度孔隙空间、岩石基质和有机质特征,利用岩心样品建立三维孔隙网络模型;(c)沿垂直井筒方向确定地质和工程甜点。对于测井解释,我们获得了井中的伽马射线(GR)、光谱GR、中子、密度、电阻率、声波测井和元素光谱测井。对于岩心测量,我们对岩心样品进行了静态和动态地质力学实验。对于DRA,我们使用三维(3D)微计算机断层扫描(CT)、三维聚焦离子束扫描电子显微镜(FIB-SEM)和高分辨率背散射电子(BSE)成像获得了富有机质页岩样品的多尺度图像。并用QEMSCAN进行了矿物学和元素分析。然后,我们量化了数字岩石的各种岩石物理性质,包括有机/无机孔隙度、总有机碳(TOC)、元素浓度和矿物学。大多数获得的属性都与日志数据进行了交叉验证。进一步,从数字岩石中提取孔隙网络模型,量化孔隙连通性、孔喉尺寸分布、有机孔隙半径分布等,提供岩石内部更多微观尺度的信息。接下来,我们根据对SEM图像的逐点元素分析和地球化学分析,确定了石英的来源和地层中高自然伽马射线剖面的原因。最后,利用数字岩石、岩心和测井资料研究了各种地质力学性质。对比岩心实验和测井资料的地质力学性质,利用DRA进行敏感性研究。以五峰—龙马溪页岩组两口直井为研究对象。DRA、岩心和测井数据基本一致,证实了这些方法的可靠性。当多个日志显示TOC存在差异时,DRA提供了额外的关键信息来进行判断。根据获得的岩石物理、地球化学和地质力学特征,对五峰组—龙马溪组进行了准确表征,预测了页岩气沿井筒的甜点,并为该组的水平钻井和压裂作业提供了建议。中国页岩气的勘探和开发引起了中国国有石油公司和国际运营商的广泛兴趣。然而,由于中国富有机质页岩地层地质特征复杂,这一工作极具挑战性。此外,在这些复杂的地层中,常规的岩心分析和测井解释方法通常是不可靠的,并且无法说明页岩中的微观信息。DRA与常规岩心、测井分析相结合,显著提高了中国富有机质页岩储层评价水平,可为今后的开发决策提供依据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Improved Formation Evaluation of Organic-Rich Shale Formations by Integrating Digital Rock Analysis with Core Data and Well Logs
To reliably evaluate the petrophysical, geochemical, and geomechanical properties of an organic-rich shale formation in China, we integrated digital rock analysis (DRA) with conventional core data and well log interpretation. The objectives of this paper included (a) to create a complete and accurate formation evaluation model for Wufeng-Longmaxi shale gas formation by combining pore-scale (digital rock), core-scale, and log-scale data; (b) to accurately characterize the micro-scale pore space, rock matrix, and organic matters in this formation, and create 3D pore network models from core samples; and (c) to identify the geological and engineering sweet-spot along vertical wellbore. For well log interpretation, we obtained Gamma Ray (GR), spectral GR, neutron, density, resistivity, sonic logs, and elemental spectroscopy logs in the wells. For core measurements, we performed static and dynamic geomechanical experiments on core samples. For DRA, we obtained multi-scale images of the organic-rich shale samples, using three-dimensional (3D) micro-Computed Tomography (CT), 3D Focused-Ion-Beam Scanning Electron Microscope (FIB-SEM), and high-resolution Back-scattered Electron (BSE) imaging. Mineralogical and elemental analysis was also obtained by QEMSCAN. We then quantified various petrophysical properties from the digital rocks, including organic/inorganic porosity, Total Organic Carbon (TOC), elemental concentration and mineralogy. Most of the obtained properties were cross-validated with log data. Furthermore, we extracted pore network models from the digital rocks to quantify pore connectivity, pore throat size distribution, organic pore radius distribution, … etc, to provide more micro-scale information within the rock. Next, we determined the origin of quartz and the cause of high natural gamma-ray sections in the formation, based on point-by-point elemental analysis on SEM images and geochemical analysis. At last, we investigated various geomechanical properties using digital rock, core and log data. We compared geomechanical properties from core experiments and logs, then performed sensitivity study by DRA. Two vertical wells in Wufeng-Longmaxi shale formation were studied by the introduced workflow. The DRA, core, and log data were mostly in good agreement, confirming the reliability of these methods. When multiple logs showed discrepancies in TOC, DRA provided additional key information for judgment. Based on the obtained petrophysical, geochemical, and geomechanical properties, we accurately characterized the Wufeng-Longmaxi formation, predicted the shale gas sweet-spot along the wellbore, and provided suggestions for future operations of horizontal drilling and fracking in this formation. The exploration and development of shale gas formations in China attracted extensive interests among Chinese national oil companies and international operators. However, it was extremely challenging due to the complex geological features of organic-rich shale formations in China. Furthermore, conventional methods of core analysis and well log interpretation were usually unreliable in these complex formations, and unable to illustrate micro-scale information in shale. The integration of DRA with conventional core and log analysis significantly improved formation evaluation in organic-rich shale formations in China, and can provide basis for future development decisions.
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