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The application of multi-seismic hydrocarbon detection technology to gas identification in B oilfield |
MA Liang-Tao1, FAN Ting-En1, XU Xue-Liang2, DONG Jian-Hua1, CAI Wen-Tao1 |
1. CNOOC Research Institute Co.,Ltd.,Beijing 100028,China 2. Qinghai Branch of CNPC Logging Co.,Ltd.,Mangya 816400,China |
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Abstract The target field is in the early stage of development with few drilling wells.Unclear boundary of gas reservoir in the target area affects accurate calculation of oil field reserves and well pattern deployment for later development.To solve this problem,the authors analyzed the seismic response characteristics of gas-bearing reservoirs in the target area by spectral decomposition energy attenuation,AVO analysis and pre-stack elastic parameter inversion technology,and then predicted the boundary of gas-bearing reservoirs in the target area.The result shows that the gas-bearing reservoir in the target area is characterized by "low frequency resonant and high frequency attenuated".That means the increase of low frequency energy and the decrease of high frequency energy due to the attenuation of seismic wave.Through AVO forward analysis of drilled well,it can be determined that the gas-bearing reservoir in the target area belongs to class III AVO anomaly,and its seismic positive amplitude increases with the increase of offset distance.Among the petrophysical parameters,Lame's coefficient,Poisson's ratio and P-S wave velocity ratio are sensitive to gas-bearing sandstone.Besides,Poisson's ratio is the best one for distinguishing gas-bearing sandstone and can reveal the gas-bearing reservoir and predict its plane distribution.Applying spectral decomposition energy attenuation,AVO analysis and pre-stack elastic parameter inversion technology,the authors detected gas-bearing reservoirs. With the application of multi-technology,the prediction precision of gas-bearing reservoir boundary can be improved and this would provide support for accurate calculation of reserves and development of well pattern deployment in the target area.
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Received: 24 April 2020
Published: 20 August 2021
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H30 structure map in study area
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Reservoir flow quality in Well-2 and Well-3
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Characteristics of seismic data frequency spectrum for reservoirs including different flow
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Frequency energy section across Well-1-Well-2-Well-3 a—low-frequency energy section;b—high-frequency energy section;c—attenuation section
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Classification map of AVO analysis in Well-3
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Seismic reflection characteristic of pre-stack seismic for H30 a—near trace seismic data;b—middle trace seismic data;c—far trace seismic data
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RMS amplitude variation characteristic of pre-stack seismic for H30 a—based on near trace seismic data;b—based on middle trace seismic data;c—based on far trace seismic data
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Different lithology elastic parameters crossplot of Well-3
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Poisson’s ratio profile across Well-4 and Well-3
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Plane map of pre-stack seismic inversion Poisson's ratio in H30
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Plane map of gas distribution for H30 reservoir in the study area
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