A Quantitative Model of Secondary Pore Evolution for Tight Sandstone Reservoirs and the History of Hydrocarbon Charging: Yingcheng Formation, Lishu Fault Depression, China

IF 5 2区 地球科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY
Chenghan Zhou, Qun Luo, Zhuo Li, Zhenxue Jiang, Xianjun Ren, Faxin Zhou
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Abstract

During the hydrocarbon charging period, reservoir pore size controls the formation mechanism and distribution law of a reservoir. In this work, we aimed to develop a porosity quantitative restoration model for tight sandstone reservoirs and reconstruct the historical process of hydrocarbon accumulation. The research methods employed were core description, X-ray diffraction, scanning electron microscopy, fluid inclusion, basin modeling, and stable carbon and oxygen isotope analysis. The findings revealed that the reservoir spaces in sandstones of the Yingcheng Formation comprise dissolution pores, microfractures and micropores, with the majority of core samples exhibiting average porosities and permeabilities of 3.6% and 0.7 mD (1 mD (millidarcy) = 9.869233 × 10−16 m2), respectively. The reservoir has experienced four main diagenetic effects, namely, early compaction, early cementation, middle dissolution and late cementation, and is currently in the mesodiagenesis B to telodiagenesis stage. Basin modeling revealed that the source rocks of the Shahezi Formation reached the hydrocarbon generation threshold at 107 Ma and reached the overmature stage at 89 Ma. The porosity evolution analysis revealed that the primary sedimentary porosity (\({\Phi }_{0}\)) is 36.6%. At the end of eodiagenesis A (\({\Phi }_{\text{ea}}\)), the porosity stood at 12.2%; at the end of eodiagenesis B (\({\Phi }_{\text{eb}}\)), it declined to 6.9%; following mesodiagenesis A (\({\Phi }_{\text{ma}}\)), it reached 9.1 %; and after mesodiagenesis B – telodiagenesis (\({\Phi }_{\text{mt}}\)), it was recorded at 4.8%. The history of natural gas charging indicated that the main charging period for natural gas was approximately 98.5–94.5 Ma. Therefore, the natural gas reservoirs of the Yingcheng Formation are classified as “hydrocarbon accumulation after sandstone densification”. The findings elucidate the accumulation process of tight sandstone gas and offer insights for applying these methods in other regions.

梨树断陷营城组致密砂岩储层次生孔隙演化定量模型及油气充注史
在油气充注期,储层孔隙大小控制着储层的形成机理和分布规律。本文旨在建立致密砂岩储层孔隙度定量恢复模型,重建油气成藏历史过程。研究方法包括岩心描述、x射线衍射、扫描电镜、流体包裹体、盆地模拟、稳定碳氧同位素分析等。结果表明,营城组砂岩储集空间主要由溶蚀孔、微裂缝和微孔组成,大部分岩心样品的平均孔隙度和渗透率为3.6% and 0.7 mD (1 mD (millidarcy) = 9.869233 × 10−16 m2), respectively. The reservoir has experienced four main diagenetic effects, namely, early compaction, early cementation, middle dissolution and late cementation, and is currently in the mesodiagenesis B to telodiagenesis stage. Basin modeling revealed that the source rocks of the Shahezi Formation reached the hydrocarbon generation threshold at 107 Ma and reached the overmature stage at 89 Ma. The porosity evolution analysis revealed that the primary sedimentary porosity (\({\Phi }_{0}\)) is 36.6%. At the end of eodiagenesis A (\({\Phi }_{\text{ea}}\)), the porosity stood at 12.2%; at the end of eodiagenesis B (\({\Phi }_{\text{eb}}\)), it declined to 6.9%; following mesodiagenesis A (\({\Phi }_{\text{ma}}\)), it reached 9.1 %; and after mesodiagenesis B – telodiagenesis (\({\Phi }_{\text{mt}}\)), it was recorded at 4.8%. The history of natural gas charging indicated that the main charging period for natural gas was approximately 98.5–94.5 Ma. Therefore, the natural gas reservoirs of the Yingcheng Formation are classified as “hydrocarbon accumulation after sandstone densification”. The findings elucidate the accumulation process of tight sandstone gas and offer insights for applying these methods in other regions.
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来源期刊
Natural Resources Research
Natural Resources Research Environmental Science-General Environmental Science
CiteScore
11.90
自引率
11.10%
发文量
151
期刊介绍: This journal publishes quantitative studies of natural (mainly but not limited to mineral) resources exploration, evaluation and exploitation, including environmental and risk-related aspects. Typical articles use geoscientific data or analyses to assess, test, or compare resource-related aspects. NRR covers a wide variety of resources including minerals, coal, hydrocarbon, geothermal, water, and vegetation. Case studies are welcome.
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