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Seismic acquisition techniques for extremely thick loess areas and applications

Weidong Luo, Xiaobin Zhang, Ming Zhou

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Abstract

Oil/gas exploration in the areas covered with extremely thick loess is constrained with low signal-to-noise ratio of the seismic data, and no breakthrough has been made for many years. The thick loess area in southwest Tarim is a typical example, influenced by both extremely thick loess and complex subsurface structure, the shooting and receiving conditions are poor, signal-to-noise ratio of raw shot records is very low, and the imaging quality of the seismic sections is very poor, so, the seismic sections can't meet the requirements for structural interpretation and reservoir prediction. Citing the tackling research on wide-line survey, long geophone array receiving, source array and the necessary acquisition techniques for the extremely thick loess areas in the southwest Tarim, through near surface structure investigation, test and analysis on shooting/receiving parameters and folds, the paper put forward the reasonable acquisition technical scheme and the necessary measures, acquired seismic data with relatively high signal-to-noise ratio, which can meets the requirements of geological interpretation, moreover, summarized and developed a set of effective necessary technologies for seismic acquisition in the mountainous regions covered with extremely thick loess.

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What this paper is about

Oil/gas exploration in the areas covered with extremely thick loess is constrained with low signal-to-noise ratio of the seismic data, and no breakthrough has been made for many years. The thick loess area in southwest Tarim is a typical example, influenced by both extremely thick loess and complex subsurface structure, the shooting and receiving conditions are poor, signal-to-noise ratio of raw shot records is very low, and the imaging quality of the seismic sections is very poor, so, the seismic sections can't meet the requirements for structural interpretation and reservoir prediction. Citing the tackling research on wide-line survey, long geophone array receiving, source array and the necessary acquisition techniques for the extremely thick loess areas in the southwest Tarim, through near surface structure investigation, test and analysis on shooting/receiving parameters and folds, the paper put forward the reasonable acquisition technical scheme and the necessary measures, acquired seismic data with relatively high signal-to-noise ratio, which can meets the requirements of geological interpretation, moreover, summarized and developed a set of effective necessary technologies for seismic acquisition in the mountainous regions covered with extremely thick loess.

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Available abstract

Oil/gas exploration in the areas covered with extremely thick loess is constrained with low signal-to-noise ratio of the seismic data, and no breakthrough has been made for many years. The thick loess area in southwest Tarim is a typical example, influenced by both extremely thick loess and complex subsurface structure, the shooting and receiving conditions are poor, signal-to-noise ratio of raw shot records is very low, and the imaging quality of the seismic sections is very poor, so, the seismic sections can't meet the requirements for structural interpretation and reservoir prediction. Citing the tackling research on wide-line survey, long geophone array receiving, source array and the necessary acquisition techniques for the extremely thick loess areas in the southwest Tarim, through near surface structure investigation, test and analysis on shooting/receiving parameters and folds, the paper put forward the reasonable acquisition technical scheme and the necessary measures, acquired seismic data with relatively high signal-to-noise ratio, which can meets the requirements of geological interpretation, moreover, summarized and developed a set of effective necessary technologies for seismic acquisition in the mountainous regions covered with extremely thick loess.

Key concepts: Loess, Computer science, Geology, Remote sensing, Geomorphology

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