Establishment of statistical models for oil and gas migration and accumulation coefficients and their applications in frontier exploration basins

doi:10.3969/j.issn.1672-7703.2019.01.012

Abstract

Abstract: Oil and gas migration and accumulation coefficient, referring to the ratio of oil and gas resources to hydrocarbon generation in a certain geological unit, is a key parameter for oil and gas resources evaluation. With the increasing improvement of exploration and development level over the last decade, more calibrated units and geological parameters have been accumulated, which lay a foundation for further researches on the oil and gas migration and accumulation coefficients. This paper analyzes the geological parameters of 86 calibrated units in 14 major petroliferous basins in China, studies the relationship between the oil and gas migration and accumulation coefficients and geological parameters in different types of basins. The results indicate that the oil and gas migration and accumulation coefficients in different types of basins are correlated with the primary hydrocarbon generation time, the reservoir thickness ratio, the trap area coefficient and the number of regional unconformities. For all types of basins, the number of regional unconformities has the greatest impact on the oil and gas migration and accumulation efficiency. For rift basins in eastern China, the influence of the trap area coefficient on the oil and gas migration and accumulation efficiency is close to that of the reservoir thickness ratio, lower than the impact of the number of regional unconformities. Besides the influence of the number of regional unconformities, craton basins of central China and foreland basins of western China are secondarily affected by the trap area coefficient and the primary hydrocarbon generation time separately. Based on these conclusions, the statistical models of the oil and gas migration and accumulation coefficients in different types of basins are systematically established. The calculation indicates that the forecast of statistical models is accurate. Accordingly, the statistical models can be used to forecast the oil and gas migration and accumulation coefficients in different types of frontier exploration basins quickly and quantitatively.

Key words: oil and gas migration and accumulation coefficient, statistical model, resource evaluation, frontier exploration basin, oil and gas migration and accumulation, geological parameters, regression analysis

CLC Number:

Zhang Wei, Liu Chenglin, Zhang Daoyong, Zhu Jie, Wu Xiaozhi, Hong Weiyu, Li Bin, Liu Yongjun. Establishment of statistical models for oil and gas migration and accumulation coefficients and their applications in frontier exploration basins[J]. China Petroleum Exploration, 2019, 24(1): 115-122.

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