SONG Aixue, YANG Jinhai, HU Bin, LIU Yi, REN Lijuan, CAO Junxing. DISTRIBUTION PATTERNS OF FRACTURE RESERVOIRS IN THE BURIED-HILLS IN DEEP WATER AREAS OF QIONGDONGNAN BASIN AND PREDICTION OF FAVORABLE AREAS FOR HYDROCARBON EXPLORATION[J]. Marine Geology Frontiers, 2021, 37(7): 60-67. DOI: 10.16028/j.1009-2722.2021.034
    Citation: SONG Aixue, YANG Jinhai, HU Bin, LIU Yi, REN Lijuan, CAO Junxing. DISTRIBUTION PATTERNS OF FRACTURE RESERVOIRS IN THE BURIED-HILLS IN DEEP WATER AREAS OF QIONGDONGNAN BASIN AND PREDICTION OF FAVORABLE AREAS FOR HYDROCARBON EXPLORATION[J]. Marine Geology Frontiers, 2021, 37(7): 60-67. DOI: 10.16028/j.1009-2722.2021.034

    DISTRIBUTION PATTERNS OF FRACTURE RESERVOIRS IN THE BURIED-HILLS IN DEEP WATER AREAS OF QIONGDONGNAN BASIN AND PREDICTION OF FAVORABLE AREAS FOR HYDROCARBON EXPLORATION

    • The granitic buried-hills on the Songnan Low Uplift in the deep water areas of the Qiongdongnan Basin is a key exploration target in the Western South China Sea. Owing to the complexity of geological conditions and low quality of seismic data, it is difficult to predict favorable reservoirs in the study area. In this paper, based on drilling data, favorable facies zones for buried-hills are identified and subdivided. And the ant tracking technique merged with curvature attributes is adopted to describe the distribution of favorable fracture reservoirs in the buried-hills, and as the results, the prediction accuracy of fractured reservoir is effectively improved. At the same time, combined with the seismic print technology based on quefrency transform, we carry out detection of favorable reservoir in buried-hills based on forward modeling, which is proven efficient and successful and may benefit the future exploration projects in the study area.
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