ISSN 1004-4140
CN 11-3017/P
李鹏飞, 张亚东, 丁富峰, 等. 鄂尔多斯盆地隐蔽性断裂识别方法技术探索与分析[J]. CT理论与应用研究(中英文), 2024, 33(5): 568-576. DOI: 10.15953/j.ctta.2023.159.
引用本文: 李鹏飞, 张亚东, 丁富峰, 等. 鄂尔多斯盆地隐蔽性断裂识别方法技术探索与分析[J]. CT理论与应用研究(中英文), 2024, 33(5): 568-576. DOI: 10.15953/j.ctta.2023.159.
LI P F, ZHANG Y D, DING F F, et al. Exploration and Analysis of Hidden Fault Identification Methods in the Ordos Basin[J]. CT Theory and Applications, 2024, 33(5): 568-576. DOI: 10.15953/j.ctta.2023.159. (in Chinese).
Citation: LI P F, ZHANG Y D, DING F F, et al. Exploration and Analysis of Hidden Fault Identification Methods in the Ordos Basin[J]. CT Theory and Applications, 2024, 33(5): 568-576. DOI: 10.15953/j.ctta.2023.159. (in Chinese).

鄂尔多斯盆地隐蔽性断裂识别方法技术探索与分析

Exploration and Analysis of Hidden Fault Identification Methods in the Ordos Basin

  • 摘要: 近年来,为进一步加大鄂尔多斯盆地油气资源勘探开发力度,地震勘探由二维向三维规模转变,三维地震随着处理解释技术进步,资料品质逐年提升。陇东地区上古生界断裂属隐蔽性低序级,断距小(<5 m)、多数钻遇无明显工程异常,在地震剖面上表现为以扭曲为主、同相轴无明显错断,识别难度大。结合实钻与地质认识综合分析认为该区断裂在控储、控藏、控水侵方面突出,有效识别该区断裂对于指导下步勘探尤为关键。目前断裂识别以相干、曲率等常规地震属性为主,存在断裂属性差异大、识别精度低、期次确定难等问题。鉴于此,依托典型三维资料,通过地震信号分解、正演模拟、残差分析、振幅张量计算、空间属性约束断面建立等手段,解决隐蔽性断裂识别难问题。通过本次方法攻关,断裂识别结果与油气地质认识及实钻情况基本相符,初步建立一套针对隐蔽性断裂识别的方法技术流程,为指导类似地区断裂高精度识别奠定技术基础。

     

    Abstract: Recently, in order to strengthen the exploration and development of oil and gas resources in the Ordos Basin, seismic exploration has changed from a two-dimensional to a three-dimensional (3D) scale. With the progress of 3D seismic processing and interpretation technology, the data quality has improved each year. The Upper Paleozoic faults in the eastern Longdong region are of hidden low sequences with small fault spacings (<5 m); no obvious engineering anomalies exist in most drilling cases. The faults are characterized by distortion and no obvious dislocation in the in-phase axis in the seismic section, which is difficult to identify. Together with the comprehensive analysis of actual drilling and geological knowledge, it was concluded that the faults in this area were prominent in controlling reservoirs and water invasion. Effective identification of the faults in this area is critical in guiding further exploration. At present, the fault identification is based mainly on conventional seismic attributes, such as coherence and curvature; there are some issues, such as large differences in fault attributes, low identification accuracy, and difficulty in determining the duration. The difficulty in identifying hidden faults was solved by means of seismic signal decomposition, forward modeling, residual analysis, amplitude tensor calculation, and section construction constrained by spatial attributes, relying on typical 3D data. The fault identification results using this method are basically consistent with the oil and gas geological knowledge and the actual drilling situation. A preliminary set of methods and technical processes for the identification of hidden faults has been established, which lays a technical foundation for guiding the high-precision identification of faults in similar areas.

     

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