Abstract
Reservoir classification and evaluation is the base for gas reservoir description. Well logging interpretation while drilling technique collects drilling logging signal in real-time through the sensor module, and transmits to the database server wirelessly. Well logging interpretation model is applied to reservoir information analysis, which is important to describe gas reservoirs accurately. Because of complicated geological conditions, there is a deviation in single well logging interpretation model. To solve the problem, a reservoir well logging evaluation while drilling method based on fuzzy comprehensive evaluation is proposed. Key parameters affecting reservoir evaluation, such as porosity, permeability and gas saturation are considered. Fully mining the information contained in GR, SP, AC and RT well logging data. Firstly, the reservoir is divided into gas, poor-gas, dry layer and water layer. For each well logging method, statistical method is used to calculate the subordinate intervals of each reservoir’s parameters, and the membership degree is calculated to form the evaluation matrix of the well logging method. Then, the weight of each parameter is selected to form the comprehensive evaluation weight matrix, and fuzzy comprehensive evaluation result of well logging is computed. Finally, the comprehensive evaluation results of different well logging methods are composed to evaluation matrix, and fuzzy comprehensive evaluation method is used again to get the final reservoir evaluation category, so as to provide scientific basis for gas field development decision making.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Ding, S., Pham, T., et al.: Integrated approach for reducing uncertainty in the estimation of formation water saturation and free water level in tight gas reservoirs-case studies. In: SCA International Symposium, pp. 1–12 (2002)
Abu-Shanab, M.M., Hamada, G.M., et al.: DMR technique improves tight gas porosity estimate. Oil Gas J. 104(4), 12–13 (2005)
Chai, X.Y., Han, C., et al.: Log interpretation of deep thin tight reservoir with special lithology and high resistivity. Well Logging Technol. 23(5), 350–354 (1999)
Liu, J.Y., Li, Y.J., Yu, R.T.: The development and application of the reservoir comprehensive and quantitative evaluation system. Comput. Tech. Geophys. Geochem. Explor. 26(1), 33–36 (2004)
Yang, Z.M., Zhang, Y.Z., et al.: Comprehensive evaluation of reservoir in low-permeability oilfields. Acta Petrolei Sin. 27(2), 64–67 (2006)
Meng, X.S., He, C.C., Guo, Y.F.: Using NMR logging to evaluate tight gas-bearing sandstone reservoir. Well Logging Technol. 27(Suppl.), 1–4 (2003)
Zhou, S.X., Xu, Y.B., et al.: Prediction methods for physical properties of compacted argillaceous sandstone reservoir and its application. Nat. Gas. Ind. 24(1), 40–43 (2004)
Wen, L., Liu, A.P., et al.: Method of evaluating upper Triassic tight sandstone reservoirs in west Sichuan Basin. Nat. Gas. Ind. 25(Suppl.), 49–53 (2005)
Wang, F.: Research on the Application and Evaluation of Cross-Dipole Acoustic Logging to Interpretation of Tight Reservoirs, Jilin University (2013)
Li, D.: Research on Fluid Unit in Tight Sandstone Reservoirs of Sulige Gas Field, Jilin University (2014)
Zhuang, H.: Research on Gas Productivity Prediction Based on Logs for Post-frac Tight Sandstone Reservoirs in Sulige Area, Jilin University (2013)
Zhang, J.F., Deng, B.R.: Application of Fuzzy Mathematics. Geological Publishing House, Beijing (1991)
Du, D., Pang, Q., Wu, Y.: Modern Comprehensive Evaluation Methods and Case Selected. Tsinghua University Press, Beijing (2008)
Acknowledgments
This work has been supported by National Science and Technology Major Project (No. 2016ZX05047003).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
About this paper
Cite this paper
Zhou, Z., Shi, S., Ma, S., Fu, J. (2018). Application of Fuzzy Comprehensive Evaluation Method for Reservoir Well Logging Interpretation While Drilling. In: Hu, J., Khalil, I., Tari, Z., Wen, S. (eds) Mobile Networks and Management. MONAMI 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 235. Springer, Cham. https://doi.org/10.1007/978-3-319-90775-8_7
Download citation
DOI: https://doi.org/10.1007/978-3-319-90775-8_7
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-90774-1
Online ISBN: 978-3-319-90775-8
eBook Packages: Computer ScienceComputer Science (R0)