Keywords
Single-well excitation
Combined-well excitation
Coverage times
Forward illumination
Submitted : 2024-02-06
Accepted : 2024-02-21
Published : 2024-03-07
Abstract
In areas with a low signal-to-noise ratio of seismic data, the continuity of the seismic reflection waves in the exploration target layer is very poor, which will reduce the imaging accuracy and make it impossible to solve certain geological tasks. This article suggests an approach to address the issue of seismic acquisition by optimizing excitation parameters. It involves conducting a detailed investigation of the surface structure, enhancing the observation system, increasing the coverage appropriately, and transitioning from combined-well excitation to single-well excitation. Additionally, the use of technical tools like qualitative evaluation of the observation system and forward modeling are employed to determine the final optimized seismic acquisition plan. The effectiveness of this approach is evident from the seismic profile obtained in an exploration area in Inner Mongolia.
References
Mo Y, Duan W, Li Y, et al., 2008, A Brief Analysis of the Relationship Between Coverage Times and Signal-to-Noise Ratio. Petroleum Geophysical Exploration, 43(S2): 77–79 + 177 + 6.
Li H, Wang Q, Yang D, et al., 2011, Application of Forward Modeling Lighting Method in the Optimization of Seismic Observation System in Longwantong Area. Science Technology and Engineering, 11(20): 4699–4704 + 4708.
Li HY, Wang QY, Yang DW, et al., 2011, The Seismic Observation System Optimization is Based on Forward and Illumination Methods in Longwantong. Science Technology and Engineering, 11(20): 4699–4704.
Li W, Hu Y, Li P, et al., 2009, Observation System Design and Analysis Technology Based on Noise Suppression Analysis. Proceedings of the 2009 Seismic Acquisition Technology Exchange Conference of Oriental Geophysical Company, 34–38.
Yang Z, Lou B, Fan X, et al., 2022, Impact and Analysis of Seismic Acquisition and Reception Methods on Data in Complex Structures with Low Signal-to-Noise Ratio in Southern Junggar . Xinjiang Geology, 40(03): 460–465.
Tang M, 2020, Research on Fine Velocity Analysis Method in Low Signal-to-Noise Ratio Seismic Data Processing. China Petroleum and Chemical Industry Standards and Quality, 40(21): 110–112.
Cai C, Mao R, Peng Z, et al., 2020, First-Break Automatic Picking Technology of Low Signal-to-Noise Ratio Seismic Data. Petroleum Geophysical Exploration, 59(04): 517–529.
Liu Y, Li L, Zhao B, et al., 2019, Characteristics and Processing Strategies of Marine Low Signal-to-Noise Ratio Single-Channel Seismic Data. Marine Geology Frontiers, 35(07): 25–33.
Bao W, 2019, Research on Crucial Processing Technologies for Low Signal-To-Noise Ratio Seismic Data on the Complex Surface of the Wushi Depression, dissertation, China University of Petroleum (East China).
Zhang Y, Liu Y, Liu C, et al., 2019, Research on FDOC-Select Transform Threshold Denoising Method for Low Signal-to-Noise Ratio Seismic Data. Acta Geophysica Sinica, 62(03): 1181–1192.
Wei J, Liu Y, Wang W, et al., 2018, A Fine Velocity Analysis Method in Low Signal-to-Noise Ratio Seismic Data Processing. Coalfield Geology and Exploration, 46(01): 154–158.