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STUDY on Reservoir Prediction in the Southeast Magin of Sichuan Basinthe Reservoir Integrated Prediction

Author: HeMiao
Tutor: ZhaoXianSheng
School: Chengdu University of Technology
Course: Earth Exploration and Information Technology
Keywords: Seismic attributes Reservoir prediction Sedimentary facies Absorption coefficient Seismic wavelet
CLC: P618.13
Type: Master's thesis
Year: 2010
Downloads: 86
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Abstract

In recent years, with the development of seismic acquisition technology and equipment improvements, data processing and interpretation methods, and gradually formed a reservoir prediction using seismic data multi-parameter method and used extensively for the actual production. Reservoir prediction technology in major oil fields at home and abroad has been widely used prediction methods becoming more mature and diverse and comprehensive direction, the application of the results significantly, and has become an important means to improve drilling success rate and exploration benefits. Reservoir prediction technology is the integrated use of seismic, logging and geological data to reveal space geometry of the target layer (oil, gas, etc.) (including reservoir thickness, the reservoir structural shape of the top and bottom, extending direction, extended range, a sharp off position) and microscopic reservoir reservoir performance parameters (including porosity, permeability, and hydrocarbon saturation and shale content) distribution characteristics, it is a large area of ??continuous distribution of seismic data with high-resolution rate well point logging data matching, transformation, and the process of combining geological knowledge and guiding ideology throughout this process always reservoir prediction technology is an integrated application of technology. The southeast Sichuan the Chishui region Jialing group drilling, high-quality seismic data, reservoir prediction more in-depth work commenced. However, due to the complexity and constraints of the technical means of reservoir has the targeted reservoir evaluation and prediction technology is not yet mature, and there is no unified geological understanding, so far has not really form an effective reservoir prediction and identification Methods of Evaluation. For the above reasons, the reservoir prediction using a variety of methods technology. This paper first introduces the work area overview, the deposition phase and speed wave impedance relationship choice seismic methods to reservoir prediction, five reservoir prediction method. First, the attribute parameter prediction method. Seismic attribute interpretation technology is an important means of reservoir description, to better reflect the development of the reservoir. Second, fracture prediction methods. Use of a coherent body of methods and differential body methods for crack detection, studies have shown that coherent and differential method can effectively detect cracks, and can more accurately predict the development of the reservoir. Third, the absorption coefficient prediction method. Sensitive to the change of the absorption coefficient of gas lithology can be used for anisotropic reservoir and hydrocarbon prediction. Fourth, the wavelet phase prediction method. Unto the well to the seismic record, you can extract the advantages and corresponding seismic wavelet, study found certain associated sedimentary facies changes and wavelet, and therefore full profile associated with the dominant phase wavelet analysis, can borrow forecast advantages phase to study the distribution of favorable reservoir. Waveform associated phase prediction method, a statistical advantage sedimentary facies of seismic waveform and profile seismic waveform correlation analysis method, due to the the deposition phase change caused by the change of the waveform characteristics, sedimentary facies and speed and other strata parameters, waveform and microfacies there is a good correspondence between the applications waveform can be approximated to predict sedimentary facies and thus to predict the distribution of favorable reservoir. Finally, the combination of all the results of the forecasting methods of the region carried out a comprehensive evaluation, favorable block divided into two types of reservoirs, research and analysis shows that a class of block prediction results are consistent with other methods.

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