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Statistical and geostatistical study of Rn and hydrocarbon components of a soil gas monitoring system: an application to surface hydrocarbon exploration

机译:土壤气体监测系统中Rn和碳氢化合物的统计和地统计学研究:在地表碳氢化合物勘探中的应用

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摘要

This work addresses three topics: (1) the study of the joint areal distribution of the Rn and hydrocarbon components of soil gases over a large region overlying some known hydrocarbon reservoirs in the southern part of Hungary; (2) the relationships between the positive anomalies of Rn and hydrocarbon components of soil gases to the existing reservoirs; (3) suggestions for new targets for surface hydrocarbon exploration based on the results. Given the very low correlation coefficients between the Rn and hydrocarbon components of the soil gases, factor analysis was used to reveal a background process controlling the common migration of hydrocarbon and Rn components. The lateral distribution of the factor scores were studied using sequential Gaussian distribution. The E-type grid generated from 100 realizations indicated several positive anomalies at the surface. Indications with a larger than 0.7 probability were kept for further analysis. Seismic sections of a 3D survey support the comparison of the surface locations of these anomalies and the surface projections of the known reservoirs. The results proved the connection between the known reservoirs and the Rn and HC components of soil gases. From the positive verification, regions with a high probability positive anomaly of factor scores, but without any reservoir counterparts may be suggested as targets for further surface hydrocarbon exploration.
机译:这项工作涉及三个主题:(1)研究覆盖匈牙利南部一些已知油气藏的大区域中土壤气体的Rn和碳氢化合物的联合面分布; (2)Rn正异常与土壤气态碳氢化合物对现有油藏的关系; (3)根据结果提出新的地表油气勘探目标建议。考虑到土壤气体中Rn和碳氢化合物组分之间的相关系数非常低,使用因子分析来揭示控制碳氢化合物和Rn组分共同迁移的背景过程。使用顺序高斯分布研究了因子得分的横向分布。从100个实现中生成的E型网格表明表面存在多个正异常。保留大于0.7概率的指征以进行进一步分析。 3D测量的地震剖面支持比较这些异常的地表位置和已知储层的地表投影。结果证明了已知储层与土壤气体中Rn和HC成分之间的联系。通过积极的核查,可以将因子得分具有高概率正异常但没有任何储层对应物的区域作为进一步地表油气勘探的目标。

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