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A Novel Static Correction Approach for Eliminating the Effect of Geophones—A Case Study in Coal Reservoirs, Ordos Basin, China

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  • Liang Sun

    (State Key Laboratory of Coal Resources and Safe Mining, China University of Mining and Technology (Beijing), Beijing 100083, China
    College of Geoscience and Surveying Engineering, China University of Mining and Technology (Beijing), Beijing 100083, China)

  • Suping Peng

    (State Key Laboratory of Coal Resources and Safe Mining, China University of Mining and Technology (Beijing), Beijing 100083, China)

  • Dengke He

    (State Key Laboratory of Coal Resources and Safe Mining, China University of Mining and Technology (Beijing), Beijing 100083, China
    College of Geoscience and Surveying Engineering, China University of Mining and Technology (Beijing), Beijing 100083, China)

Abstract

Static correction is an essential step in seismic processing and it has an effect on the later steps of seismic processing, including velocity analysis, data stacking, and seismic inversion. During seismic data acquisition, a receiving point usually sets a geophone several times to receive the seismic data. The same geophone cannot be set at the same receiving point every time. If the geophones have different delay time, then the common receiving-point gather (CRG) will have multiple receiver statics. However, the receiver statics of a CRG are considered the same in conventional static correction. In this paper, based on common attitude gather (CAG), a novel static correction method is proposed to analyze the receiver statics of a CRG. Attitude indicates the tilt angles of the three components of a geophone. According to the different attitudes of geophones, CRG can be divided into multiple CAGs. When the difference technique is used to the novel method and the conventional method, the statics are analyzed with CAGs and CRGs, respectively. A field example demonstrates that the proposed method cannot only enhance the continuity of the event in the shot gather, but also smooth the gaps of the event in the CRG. The results suggest that the proposed method can eliminate the effect of differences in delay time of geophones on static correction.

Suggested Citation

  • Liang Sun & Suping Peng & Dengke He, 2018. "A Novel Static Correction Approach for Eliminating the Effect of Geophones—A Case Study in Coal Reservoirs, Ordos Basin, China," Energies, MDPI, vol. 11(12), pages 1-12, November.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:12:p:3240-:d:184600
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    References listed on IDEAS

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    1. Jun Lu & Yun Wang & Jingyi Chen, 2018. "Detection of Tectonically Deformed Coal Using Model-Based Joint Inversion of Multi-Component Seismic Data," Energies, MDPI, vol. 11(4), pages 1-17, April.
    2. Jinliang Zhang & Longlong Liu & Ruoshan Wang, 2017. "Geostatistical Three-Dimensional Modeling of a Tight Gas Reservoir: A Case Study of Block S6 of the Sulige Gas Field, Ordos Basin, China," Energies, MDPI, vol. 10(9), pages 1-16, September.
    3. Junling Fang & Fengde Zhou & Zhonghua Tang, 2017. "Discrete Fracture Network Modelling in a Naturally Fractured Carbonate Reservoir in the Jingbei Oilfield, China," Energies, MDPI, vol. 10(2), pages 1-19, February.
    4. Jiao Su & Yingchu Shen & Jin Hao & Bo Liu, 2017. "Shale Gas Content Calculation of the Triassic Yanchang Formation in the Southeastern Ordos Basin, China," Energies, MDPI, vol. 10(12), pages 1-18, November.
    5. Pan Wang & Suping Peng, 2018. "A New Scheme to Improve the Performance of Artificial Intelligence Techniques for Estimating Total Organic Carbon from Well Logs," Energies, MDPI, vol. 11(4), pages 1-24, March.
    6. Zhihao Jiang & Zhiqiang Mao & Yujiang Shi & Daxing Wang, 2018. "Multifractal Characteristics and Classification of Tight Sandstone Reservoirs: A Case Study from the Triassic Yanchang Formation, Ordos Basin, China," Energies, MDPI, vol. 11(9), pages 1-17, August.
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