Seismic Geothermal Resource Exploration based on CPU/GPU Collaborative Parallel Prestack Time Migration
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This work was supported by Department of Science and Technology of Guangdong Provinces (No. 2019ZT08G315), Natural?Science?Foundation?of?China?(No.?52174083), Sichuan University, State Key Lab Hydraul & Mt River Engn Foun (No. SKHL2021), the S&T (Science and Technology) Program of Hebei (No. 20374201D) and DOE Laboratory of Deep Earth Science and Engineering (Nos. DESE202102, DESE202108).

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    Abstract:

    Geothermal resources exist in complex and comprehensive geological settings. In the current study, we proposed a CPU/GPU collaborative parallel prestack time migration methodology for geothermal resource exploration. First, seismic geological conditions in Xian County were obtained based on an analysis of drill cores for further seismic evaluation. Then, combined with the analysis of two-dimensional seismic data in the adjacent area, a test section with three seismic survey lines were designed to explore the geological structure of the study area. In the study area, the seismic data were derived through the multiple coverage reflection wave exploration method with explosive ignition in deep wells and high coverage frequency observations. Finally, we employed CPU/GPU collaborative parallel prestack time migration technology to analyze the obtained seismic data for geothermal resource evaluation. The favorable areas of karst fissure heat storage in Middle–Upper Proterozoic Jixianian and Paleozoic Cambrian–Ordovician rocks were inferred together with two preferred recommended exploration holes.

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LONG Xiting, LIU Fei, XIE Heping, LIN Wenjing, LIU Yanguang, LI Cunbao.2022. Seismic Geothermal Resource Exploration based on CPU/GPU Collaborative Parallel Prestack Time Migration[J]. Acta Geologica Sinica(),96(5):1742-1751

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History
  • Received:July 30,2021
  • Revised:November 08,2021
  • Adopted:
  • Online: October 26,2022
  • Published: