Method of analysis logging combination feature and seismic facies to predict coal quality
A technology of combining features and analysis methods, applied in seismic signal processing and other directions, can solve problems such as difficulty in obtaining coal quality information
Active Publication Date: 2013-05-08
CHINA PETROLEUM & CHEM CORP +1
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Problems solved by technology
[0006] The realization of coal quality is the key factor for effective prediction of coalbed methane. At present, coal quality information can only be obtained through drilling cores. It is very difficult to obtain coal quality information when there are few wells drilled in the early stage of exploration.
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[0027] (1) Classification of logging response characteristics of longitudinal distribution of coal seams
[0028] This research is carried out around the actual coal seam exploration area, which contains 13 drilling wells, one of which is the main coal seam. Logging data analysis of the main coal seam and upper small coal seam combination can be divided into four categories: 1. There is a main coal seam and no small coal seam in the upper part; Coal seam; 4. There is no main coal seam, and there is a small coal seam in the upper part. The classification of four vertical combinations of coal seams indicates four types of coal-forming environments in the study area.
[0029] (2) Seismic facies analysis method to predict the lateral distribution of coal seams
[0030] The distribution of coal seams is controlled by facies, and the spatial distribution of coal seams of the same nature is continuous, while the spatial distribution of coal seams of different properties has certain...
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The invention belongs to the field of coalbed methane exploration and development to predict the transverse distribution of the coal quality by integrated application information of logging, well drilling, earthquakes and geology. In research, the logging information is effectively used. The logging information is classified according to distribution characteristics of the lengthways combination of a main force coal seam and a small coal seam on the upper of the main force coal seam in the research object seam to predict transverse distribution of the coal quality by combining the transverse change of earthquake reflection characters caused by a coal seam. Appropriate parameters such as a time window are selected by analysis of logging information, earthquake root-mean-square amplitude is optimized to effectively depict a seismic facies belt, and predicted edges of the seismic facies belt are clear. A test site deposition geological background is analyzed synthetically, the logging information and seismic data are effectively used, the seismic facies and sedimentary facies of the test site are described, beneficial facies belts suitable for generation, aggregation and storage of the coal seam are optimized to achieve flat distribution depiction of various coal qualities, and the fit degree of the predicted result and the well drilling is high.
Description
technical field [0001] The invention belongs to the field of seismic exploration and development of oil and gas and coalbed methane, and specifically relates to the qualitative prediction of coal seam coal quality plane distribution based on the longitudinal combination relationship of coal seams shown by logging characteristics and combined with the plane distribution characteristics of seismic waveforms reflected by seismic attributes. Background technique [0002] China's coalbed methane reserves are large, and in the process of sustainable development, coalbed methane has gradually become an important energy source in my country. However, due to the relatively late start of research on coalbed methane, the proprietary technology for coalbed methane exploration and development is not mature enough. [0003] The formation, enrichment, and storage of coalbed methane are affected by many factors, among which different coal qualities have the most direct relationship to the f...
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Inventor 陈勇关达罗延王汝珍蔡玉华
Owner CHINA PETROLEUM & CHEM CORP