Quantificational characterization of the microscopic pore structure is the key to evaluating tight reservoirs. Since tight reservoirs mainly develop nano-pores which are difficult to fully characterize pore throats＇ ...Quantificational characterization of the microscopic pore structure is the key to evaluating tight reservoirs. Since tight reservoirs mainly develop nano-pores which are difficult to fully characterize pore throats＇ distribution by single conventional experimental method, there＇s an urgent need to establish a characterization method by jointing several conventional experimental methods.展开更多
Currently, there are two main methods to obtain total organic carbon （TOC） content in mud shale geochemical analysis and AlgR model. Geochemical analysis can obtain accurate TOC content, but it has the problem of hi...Currently, there are two main methods to obtain total organic carbon （TOC） content in mud shale geochemical analysis and AlgR model. Geochemical analysis can obtain accurate TOC content, but it has the problem of higher cost and less samples. The AlgR model can obtain TOC content variable values in well profile conveniently and quickly, but it can＇t predict TOC content in mud shale in cross-hole area. Both the methods can＇t meet the needs of resources evaluation of shale oil in the back ground of strong organic heterogeneous in mud shale.展开更多
基金supported by the National Basic Research Program of China(Grant No.2014CB239005-001)the National Natural Science Foundation of China(Grant No.41402109)
文摘Quantificational characterization of the microscopic pore structure is the key to evaluating tight reservoirs. Since tight reservoirs mainly develop nano-pores which are difficult to fully characterize pore throats＇ distribution by single conventional experimental method, there＇s an urgent need to establish a characterization method by jointing several conventional experimental methods.
文摘Currently, there are two main methods to obtain total organic carbon （TOC） content in mud shale geochemical analysis and AlgR model. Geochemical analysis can obtain accurate TOC content, but it has the problem of higher cost and less samples. The AlgR model can obtain TOC content variable values in well profile conveniently and quickly, but it can＇t predict TOC content in mud shale in cross-hole area. Both the methods can＇t meet the needs of resources evaluation of shale oil in the back ground of strong organic heterogeneous in mud shale.
