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Establishment of three-dimensional interpretation model for surface geochemical anomaly:A case study of Meath Braque area in Kuqa Depression |
LIN Yu-Xiang1, MA Xiao-Wei1, ZHU Chuan-Zhen1, SONG Xi-Lin2, MI Xiao-Li2, ZHANG Gang2 |
1. College of Earth Science and Engineering, Shandong University of Science and Technology, Qingdao 266590, China;
2. Department of Geophysical and Geochemical Exploration, Bureau of Geophysical Prospecting INC, CNPC, Zhuozhou 072750, China |
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Abstract In the past, the interpretation of oil and gas geochemical anomaly was primarily carried out by two-dimensional interpretation of plane and profile, which is difficult to accurately reflect the relationship between geochemical anomaly and subsurface oil and gas distribution. Taking oil and gas geochemical exploration in Meath Braque area of Kuqa Depression as an example and guided by vertical migration theory of oil and gas, the authors established a three-dimensional model for interpretation of geochemical anomaly (comprising three-dimensional model of geology, transportation space, abnormal pressure and geochemical anomaly) on the basis of the study of sedimentary-tectonic evolution, hydrocarbon generation evolution, oil and gas migration characteristics and abnormal distribution law. It directly reflects the oil and gas vertical migration, power source, migration space and migration pathway, and systematically explains the formation process of surface geochemical anomaly and its relationship with underground oil and gas in Meath Braque area. It is found that convergent migration of oil and gas caused by the bulge fracture surface leads to anomaly intensification, and divergent migration of oil and gas caused by the concave facture fracture surface results in anomaly weakening. Overall, the three-dimensional interpretation model for geochemical anomaly has achieved good results in Meath Braque area and it effectively improves certainty and accuracy of the geochemical anomaly interpretation.
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Received: 30 November 2015
Published: 10 August 2016
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