Academic Journal

Quantitative Prediction of Coalbed Gas Content Based on Seismic Multiple-Attribute Analyses

التفاصيل البيبلوغرافية
العنوان: Quantitative Prediction of Coalbed Gas Content Based on Seismic Multiple-Attribute Analyses
المؤلفون: Pan, R. (Renfang), Gao, H. (Huanhuan), Lei, K. (Kehui), Zhu, Z. (Zhengping)
المصدر: Journal of Engineering and Technological Sciences
بيانات النشر: Bandung Institute of Technology
سنة النشر: 2015
المجموعة: neliti (Indonesia's Think Tank Database)
مصطلحات موضوعية: Indonesia, seismic multi-attribute, pre-stack inversion, multiple linear regression, gas content, coal-seam gas
الوصف: Accurate prediction of gas planar distribution is crucial to selection and development of new CBM exploration areas. Based on seismic attributes, well logging and testing data we found that seismic absorption attenuation, after eliminating the effects of burial depth, shows an evident correlation with CBM gas content; (positive) structure curvature has a negative correlation with gas content; and density has a negative correlation with gas content. It is feasible to use the hydrocarbon index (P*G) and pseudo-Poisson ratio attributes for detection of gas enrichment zones. Based on seismic multiple-attribute analyses, a multiple linear regression equation was established between the seismic attributes and gas content at the drilling wells. Application of this equation to the seismic attributes at locations other than the drilling wells yielded a quantitative prediction of planar gas distribution. Prediction calculations were performed for two different models, one using pre-stack inversion and the other one disregarding pre-stack inversion. A comparison of the results indicates that both models predicted a similar trend for gas content distribution, except that the model using pre-stack inversion yielded a prediction result with considerably higher precision than the other model.
نوع الوثيقة: article in journal/newspaper
وصف الملف: application/pdf
اللغة: English
Relation: https://www.neliti.com/publications/74507/quantitative-prediction-of-coalbed-gas-content-based-on-seismic-multiple-attribu
الاتاحة: https://www.neliti.com/publications/74507/quantitative-prediction-of-coalbed-gas-content-based-on-seismic-multiple-attribu
Rights: (c) Journal of Engineering and Technological Sciences, 2015
رقم الانضمام: edsbas.D12D201A
قاعدة البيانات: BASE