A method of classifying mountain terrain and surface type based on DEM data volume and its application in the economic and technical evaluation of geophysical prospecting
YANG Liangang1, JIANG Min1, PAN Shulin2, LUO Xinsheng1, SONG Jinpeng1, LUO Jiangmin1
1. Tarim Oilfield Company, PetroChina, Korla, Xinjiang 841000, China; 2. School of Geoscience and Technology, Southwest Petroleum University, Chengdu, Sichuan 610500, China
Abstract：The terrain of the piedmont thrust belt in the Tarim Basin fluctuates violently, and the mountain body is severely weathered and denuded. In addition, the surface types are complex and diverse. There are many problems such as long cycles, high costs, and incompleteness in the field exploration in the early stage of seismic acquisition, and they have long restricted the cost calculation of oilfield seismic acquisition deployment projects and the decision-making efficiency of scheme optimization and adjustment. In view of these problems, this paper presents a method to quantitatively evaluate the terrain and surface type of shot and receiver points by extracting topographic feature elements through the DEM data volume. First, mathematical statistics methods are used to calculate the optimal neighborhood size and division interval of two topographic feature elements, namely, undulation and slope. Then, longitudinal distance is introduced to compensate for their deficiencies in comprehensively characterizing the construction difficulty of seismic acquisition. The practical application shows that this method can effectively improve exploration precision and accurately reflect construction difficulty. Furthermore, the division period of terrain and surface type is reduced from more than one week to less than two days, so as to provide strong support in objectively and fairly evaluating economic and technical integration and optimizing acquisition schemes.
杨连刚, 江民, 潘树林, 罗新生, 宋金鹏, 罗姜民. 基于DEM数据体的山地地形地类划分方法及在物探经济技术评价中的应用[J]. 石油地球物理勘探, 2023, 58(1): 93-103.
YANG Liangang, JIANG Min, PAN Shulin, LUO Xinsheng, SONG Jinpeng, LUO Jiangmin. A method of classifying mountain terrain and surface type based on DEM data volume and its application in the economic and technical evaluation of geophysical prospecting. Oil Geophysical Prospecting, 2023, 58(1): 93-103.
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