Objective Traditional oil and gas theory considers that hydrocarbon generation process is a hydrodeoxygenation reaction of organic matter （OM）. Thus, the supply condition of hydrogen controls the hydrocarbon genera...Objective Traditional oil and gas theory considers that hydrocarbon generation process is a hydrodeoxygenation reaction of organic matter （OM）. Thus, the supply condition of hydrogen controls the hydrocarbon generation ability of OM. Those factors of TOC and hydrogen index （IH） are playing important roles for calculating potential petroleum resources. The factor IH mainly emphasizes the hydrogen condition of the source rock itself. However, it has been proved by simulation experiments that external hydrogen such as hydrogen-bearing rock （olivine）, water and hydrogen gas can improve the hydrocarbon productivity of source rock, and the effect of external hydrogen on hydrocarbon productivity has been poorly concerned under current resource assessment method. Therefore, this work proposed a new resource assessment factor of IEH in an effort to address this problem.展开更多
The generalized Pareto distribution model is a kind of hydrocarbon pool size probability statistical method for resource assessment. By introducing the time variable, resource conversion rate and the geological variab...The generalized Pareto distribution model is a kind of hydrocarbon pool size probability statistical method for resource assessment. By introducing the time variable, resource conversion rate and the geological variable, resource density, such model can describe not only different types of basins, but also any exploration samples at different phases of exploration, up to the parent population. It is a dynamic distribution model with profound geological significance and wide applicability. Its basic principle and the process of resource assessment are described in this paper. The petroleum accumulation system is an appropriate assessment unit for such method. The hydrocarbon resource structure of the Huanghua Depression in Bohai Bay Basin was predicted by using this model. The prediction results accord with the knowledge of exploration in the Huanghua Depression, and point out the remaining resources potential and structure of different petroleum accumulation systems, which are of great significance for guiding future exploration in the Huanghua Depression.展开更多
基金sponsored by National Science Foundation of China (grants No.41541019, 41230312 and 41102075)Strategic Priority Research Program of the Chinese Academy of Sciences (grant No.XDA14010404)Liu Baojun Geological Youth Foundation Project (grant No.DMSM2017053)
文摘Objective Traditional oil and gas theory considers that hydrocarbon generation process is a hydrodeoxygenation reaction of organic matter （OM）. Thus, the supply condition of hydrogen controls the hydrocarbon generation ability of OM. Those factors of TOC and hydrogen index （IH） are playing important roles for calculating potential petroleum resources. The factor IH mainly emphasizes the hydrogen condition of the source rock itself. However, it has been proved by simulation experiments that external hydrogen such as hydrogen-bearing rock （olivine）, water and hydrogen gas can improve the hydrocarbon productivity of source rock, and the effect of external hydrogen on hydrocarbon productivity has been poorly concerned under current resource assessment method. Therefore, this work proposed a new resource assessment factor of IEH in an effort to address this problem.
文摘The generalized Pareto distribution model is a kind of hydrocarbon pool size probability statistical method for resource assessment. By introducing the time variable, resource conversion rate and the geological variable, resource density, such model can describe not only different types of basins, but also any exploration samples at different phases of exploration, up to the parent population. It is a dynamic distribution model with profound geological significance and wide applicability. Its basic principle and the process of resource assessment are described in this paper. The petroleum accumulation system is an appropriate assessment unit for such method. The hydrocarbon resource structure of the Huanghua Depression in Bohai Bay Basin was predicted by using this model. The prediction results accord with the knowledge of exploration in the Huanghua Depression, and point out the remaining resources potential and structure of different petroleum accumulation systems, which are of great significance for guiding future exploration in the Huanghua Depression.
