Study on Quantitative Well Logging Interpretation of Continental Shale Oil Reservoir in Jimusar Sag

doi:10.11885/j.issn.1674-5086.2021.04.07.01

Abstract

Abstract: The continental shale oil of Permian Lucaogou Formation in Jimusar Sag is selected as the research object to establish quantitative well logging interpretation models. Core calibration logging and data mining are used to establish the quantitative well logging interpretation models of physical properties, oil-bearing properties, micro pore structure and rock mechanics respectively according to the upper and lower sweet spot. In the field application of well logging interpretation models, the accuracy of reservoir evaluation has been greatly improved, reaching more than 85%. The three well logging curves are selected by the data mining method with the multi-factor permeability calculation model, not only reflect the contribution of absolute porosity to permeability, but also consider the restriction of micro pore structure transformation on permeability, and two well logging curves of natural gamma ray and acoustic time difference are used to characterize respectively the influence of shale content and compaction-cementation effect on seepage path and seepage resistance. Compared with the single factor model, the calculation accuracy is improved by 25.6%. In addition, due to the following influences such as the borehole environment, the gravity differentiation of pore fluid and the anisotropy of formation in different directions, there is a certain deviation between horizontal and vertical well logging curves. So the quantitative well logging interpretation models based on the response characteristics of vertical well logging curves and core analysis data can not be directly applied to the reservoir evaluation of horizontal wells. In view of the above problems, the conversion chart and calculation formula of well logging curves of two measurement methods are established, and the reservoir of the horizontal section can be quantitatively interpreted.

Key words: continental shale oil, reservoir physical property, oil saturation, micro-pore structure parameter, quantitative interpretation models, Jimusar Sag

CLC Number:

TE348

TAN Fengqi, LI Xiankun, GAO Yang, LI Yingyan, ZHANG Fang. Study on Quantitative Well Logging Interpretation of Continental Shale Oil Reservoir in Jimusar Sag[J]. Journal of Southwest Petroleum University(Science & Technology Edition), 2023, 45(3): 29-48.

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