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Real-time Micro Seismic Monitoring And Integrated Interpretation Method For Fracture

Posted on:2014-10-20Degree:MasterType:Thesis
Country:ChinaCandidate:C FengFull Text:PDF
GTID:2180330452962379Subject:Earth Exploration and Information Technology
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Micro-seismic monitoring technology is a technique widely used in the field of oil and gas development and water injection fracturing. This technology is able to achieve the reservoir fracturing monitoring and reservoir-driven real-time monitoring after water injection and gas injection, so it has a great significance in the exploration and development of oil fields. The thesis mainly includes two parts, namely, the real-time micro-seismic monitoring technology and the fracture interpretation technology.This paper first introduces the process of the traditional micro-seismic monitoring technology. the inversion methods adopted by the traditional micro-earthquake location need to be picked up, thus not only does it cost a lot of time and human resources, but the positioning accuracy is also difficult to meet the requirements when the micro-seismic event is greatly affected by noise. Due to this fact, the polarization detection algorithm-based micro-seismic effective event automatic identification technology and the scanning stack algorithm-based micro-seismic resource automatic positioning technology are adopted to form a real-time micro-seismic monitoring method for hydro fracture. The former one, the polarization detection algorithm-based micro-seismic effective event automatic identification technology, can detect the presence of micro-seismic effective signal in a large number of original micro-seismic data, thus increasing the efficiency and accuracy of the entire micro-seismic monitoring process. The latter one, the scanning stack algorithm-based micro-seismic resource automatic positioning technology, without the need of picking up early, can achieve the identified micro-seismic effective signal positioning, thus saving a lot of time. The combination of the above two technologies constitutes the key technologies of micro-earthquake real-time monitoring. After the model spreadsheet and the application in actual data, it is found that these two methods have fast speed and high precision to meet the requirements of real-time monitoring. Therefore they can provide on-site guidance for the construction personnel to timely adjust and optimize the development and design program and to achieve requirements of the controllability of hydraulic fracture trend and extension.For fracture interpretation techniques, first introduced the micro earthquake magnitude and frequency-magnitude distribution relationship, combined with the positioning of the micro-seismic events occurred in chronological order, you can determine which micro-seismic events are triggered, which events are induced to identify the presence of faults or natural fractures in the underground space. Identify natural fractures and faults using fuzzy C-means clustering algorithm, combined with the properties of the micro-seismic amplitude extracted, polarization properties, attributes, and so travel time after the model spreadsheet applications and the actual data, show that the fuzzy clustering analysis effective classification algorithm clusters of micro-seismic events can be found in the section with the main crack further classified can get up the section cracks with small cracks and micro cracks form, distribution, according to the valid event the occurrence of the time can be observed in the case of each of the development of cracks. According to the classification results, combined, according to the crack distribution, and can further determine the effects of hydraulic fracturing, to determine whether the entire horizontal section to form a seam network system, and whether it can improve the natural capacity benefits have been the biggest play of the horizontal section, in order to achieve the maximum development effect.
Keywords/Search Tags:Micro-earthquakes, real-time monitoring, scanning stack algorithm, frequency-magnitude distribution, fuzzy clustering, fracture interpretation
PDF Full Text Request
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