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Models for dynamic evaluation of mudstone/shale cap rocks and their applications in the Lower Paleozoic sequences,Sichuan Basin,SW China
Institution:1. School of Materials Science and Engineering, China University of Petroleum, Qingdao, Shandong 266580 China;2. School of Petroleum Engineering, China University of Petroleum, Qingdao, Shandong 266580 China;3. Department of Chemical and Biomolecular Engineering, National University of Singapore, 117576 Singapore
Abstract:The estimation of the sealing capability of cap rocks dynamically is one of the fundamental geological problems that must be resolved in petroleum exploration. In this paper, a porosity–capillary pressure (?Pc) method was used to estimate the sealing capacity during cap rock burial and a permeability–capillary pressure (KPc) plus over-consolidation ratio (OCR) method to estimate the sealing capacity during uplift. Based on 120 capillary pressure–porosity measurements, a ?Pc mathematical model has been established for the burial phase. By analyzing the permeability data measured from 12 mudstone/shale samples from different stratigraphic intervals under step loading conditions, a permeability–confining pressure (KP) mathematical model has been constructed. Moreover, capillary pressure–permeability data measured from 141 mudstone or shale cap rocks have been used to establish a KPc mathematical model for seal capacity evaluation during uplift. Additionally, the OCR of mudstone or shale was calculated from the results of reconstructed burial and uplift histories. These mathematical models were used in case studies in the Sichuan Basin, South China. The results indicate that capillary pressure (Pc) is inadequate in evaluating sealing capacity of cap rocks but the combination of parameters Pc and OCR works well. The agreement between calculated and measured values shows the effectiveness and reliability of the models for dynamic estimation of the sealing capacity of mudstone/shale cap rocks established in this study.
Keywords:Cap rocks  Capillary pressure  Over-consolidation ratio (OCR)  Porosity  Permeability  Paleozoic shale
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