A New Screening Evaluation Method for Carbon Dioxide Miscible Flooding Candidate Reservoirs

Document Type: Research Paper

Authors

1 General Research Institute, CNOOC, Beijing 100027, China

2 School of Petroleum Engineering, China University of Petroleum (Eastern China)

3 Gudong Oil Production Plant of Shengli Oil Field Co., Dongying, China

Abstract

Prior to the implementation of CO2 injection EOR projects, the screening evaluation of candidate reservoirs will promote the economic benefits of CO2 injection. Currently, a uniform screening method for CO2 miscible flooding does not exist. Based on more than 112 successfully implemented CO2 miscible flooding reservoirs, which was referred in 2010 Worldwide EOR Survey, and CO2 miscible flooding mechanisms, this paper picks out 12 reservoir and fluid parameters affecting CO2 miscible flooding results as comprehensive evaluation parameters for screening candidate reservoirs. According to investigations on a large number of domestic and international CO2 miscible flooding projects, the quantitative methods are determined by theoretical analyses, field experience, and probability statistics. By means of calculating the combinational weights by improved analytical hierarchy process (AHP) and entropy method and combining the advantages of technique for order preference by similarity to ideal solution (TOPSIS) with gray relational analysis to construct a new similarity nearness degree, the weighted GC-TOPSIS model is established for screening candidate reservoirs. This screening method was employed for the assessment of five classical candidate reservoirs proposed for CO2 miscible flooding. The results show that this new method can correctly evaluate and compare the potential of CO2 miscible flooding.

Keywords


      [1]     Ferguson R. C., Kuuskraa V. A., and Remson D., “Storing CO2 with Next Generation CO2-EOR Technology,” SPE 139717 presented at the SPE International Conference on CO2 Capture, Storage, and Utilization held in New Orleans, Louisiana, USA, 2010.

      [2]     Koottungal L., “2010 worldwide EOR survey,” Oil & Gas Journal, 2010, 108(14), 41-53.

      [3]     Geffen T. M., “Improved Oil Recovery Could Ease Energy Shortage,” World Oil, 1977, 177(5), 84-88.

      [4]     Brashear J. P. and Kuuskraa V. A., “The Potential and Economics of Enhanced Oil Recovery,” Report US FEA Contract No. CO-0350222-000, Washington DC, 1976.

      [5]     NPC (National Petroleum Council)., “Enhanced Oil Recovery-An Analysis of the Potential for Enhanced Oil Recovery from Known Fields in the United States,” Washington DC, 1976.

      [6]     McRee B. C., “CO2: How it Works, Where it Works,” Petroleum Engineering, 1977, 52-63.

      [7]     Lyoho A. W., “Selecting Enhanced Recovery Processes,” World Oil, 1978, 187(6), 61-64.

      [8]     OTA (Office of Technology Assessment), “Enhanced Oil Recovery Potential in the United States,” Congress of the United States, US Government Printing Office, Washington DC, 1978.

      [9]     Carcoana A., “Enhanced Oil Recovery in Romania,” Proceedings Third Joint SPE/DOE Symposium on Enhanced Oil Recovery, Society of Petroleum Engineers of AIME, Dallas, TX, 1982, 367-379.

    [10]    Taber J. J. and Martin F. D., “Technical Screening Guides for the Enhanced Recovery of Oil,” SPE 12069 presented at the Society of Petroleum Engineers Annual Technical Conference and Exhibition, San Francisco, CA, 1983.

    [11]    Klins M. A., “CO2 Flooding Mechanism and Engineering Design [M],” Beijing: Petroleum Industry Press, 1989, 216-234.

    [12]    Rivas O., “Ranking Reservoirs for CO2 Flooding Processes,” SPE 23641, 1992, 95-103.

    [13]    Diaz D., Bassiouni Z., and Kimbrell W., “Screening Criteria for Application of Carbon Dioxide Miscible Displacement in Waterflooded Reservoirs Containing Light Oil,” SPE/DOE 35431 presented at the SPE Improved Oil Recovery Symposium held in Tulsa, OK, USA, 1996, 21-24.

    [14]    Taber J. J., Martin F. D., and Seright R. S., “EOR Screening Criteria Revisited-Part 1: Introduction, to Screening Criteria and Enhanced Recovery Field Projects,” SPE Reservoir Engineering, 1997, 12(3), 189-198.

    [15]    Brent Thomas., “Proposed Screening Criteria for Gas Injection Evaluation,” The Journal of Canadian Petroleum Technology, 1998, 37(11), 14-20.

    [16]    Aladasani J. A. and Bai B., “Recent Developments and Updated Screening Criteria of Enhanced Oil Recovery Techniques,” SPE 130726 presented at the CPS/SPE International Oil & Gas Conference and Exhibition in China held in Beijing, China, 2010.

    [17]    Qin L. C., Hailong L., and Yin X. Q., “Application of CO2 Miscible Flooding on Gao 89-1 Low Permeability Reservoir,” SPE 144918 presented at the SPE Asia Pacific Oil & Gas Conference and Exhibition held in Jakarta, Indonesia, 2011.

    [18]    Shuqiu Z., “Application of Fuzzy Optimization Theory to Optimizing Development Program of Oil Gad Field,” Natural Gas Industry, 1993, 13(2), 45-48.

    [19]    Yu X., Liangtian S., and Lei S., “A New Integrative Evaluation Way for Candidate of Carbon Dioxide Miscible Flooding Reservoirs Based on Fuzzy Analytical Hierarchy Process,” Acta. Petrolei. Sinica., 2002, 23(6), 60-62.

    [20]    Yu X., Yubin X., and Tiangang C., “A Screening Candidate Reservoir for Gas Injection Way Based on Characteristic Parameter’s Comprehensive Weight Optimization Method,” Journal of Southwest Petroleum Institute, 2004, 26(2), 22-25.

    [21]    Yunchuan Z., Yu X., and Tianjiang H., “Fuzzy Optimization Method for Screening Candidate of Gas Injection Reservoirs,” Journal of Southwest Petroleum Institute, 2005, 27(1), 44-47.

    [22]    Shunpeng Z., Qiuwen Y., and Jie C., “Fuzzy Hierarchy Analysis-based Selection of Oil Reservoirs for Gas Storage and Gas Injection,” Henan Petroleum, 2005, 19(4), 40-46.

    [23]    Lingtai F., Yueming C., and Jun Y., “Application of Fuzzy Analytical Hierarchy Process on Variable Weight Basis in Profile Control Well Selection in Low Permeability Reservoir,” Special Oil and Gas Reservoirs, 2007, 14(3), 81-84.

    [24]    Wang G. C., “Microscopic Investigation of CO2 Flooding Process,” SPE/DOE 9788, AGU, 1982.

    [25]    Fred I. and Stalkup J. R., “Miscible displacement [M],” Beijing: Petroleum Industry Press, 1989, 40-52, 355-401.

    [26]    Chengzhi Y., Qingshan Y., and Pingping S., “EOR by Miscible Flooding [M],” Beijing: Petroleum Industry Press, 1993, 51-78.

    [27]    Bacci G., Korre A., and Durucan S., “An Experimental and Numerical Investigation into the Impact of Dissolution/ Precipitation Mechanisms on CO2 Injectivity in the Wellbore and far Field Regions,” International Journal of Greenhouse Gas Control, 2011, 5, 579-588.

    [28]    Jahangiri H. R. and Zhang D., “Ensemble Based Co-optimization of Carbon Dioxide Sequestration and Enhanced Oil Recovery,” International Journal of Greenhouse Gas Control, 2012, 8, 22-33.

    [29]    Cao M. and Gu Y., “Physicochemical Characterization of Produced Oils and Gases in Immiscible and Miscible CO2 Flooding Processes,” Energy & Fuels, 2013, 27, 440-453.

    [30]    Valcarcel M. and Rios A., “The Hierarchy and Relationships of Analytical Properties,” Analytical Chemistry, 1993, 18, 781-786.

    [31]    Junwen B. and Kebin S., “Improved Hierarchy Analysis Process Used in Optimal Selection of Seepage Control Project of Dam Foundation,” Journal of Water Resources and Architectural Engineering, 2004, 2(4), 11-13, 22.

    [32]    Yu Y. S., Li Y., Lu H. F., Yan L. W. et al. “Per-formance Improvement for Chemical Absorption of CO2 by Global Field Synergy Optimization,” International Journal of Greenhouse Gas Control, 2011, 5, 649-658.

    [33]    Wanhua Q., “Management Decision and Application of Entropy,” Beijing: China Machine Press, 2001, 140-158, 193-196.

    [34]    Fuyuan Z. and Qinghua C., “The Comprehensive Integration Method of Subjective and Objective Granting Weight and Its Application,” Journal of the Academy of Equipment Command & Technology, 2003, 14(6), 106-110.

    [35]    Chen S. J. and Hwang C. L., “Fuzzy Multiple Attribute Decision Making: Methods and Applications,” New York, Springer, 1992.

    [36]    Pop H. and Sarbu C., “A New Fuzzy Regression Algorithm,” Anal. Chem., 1996, 68, 771-778.

    [37]    Zhou Q., Chan C. W., and Tontiwachwuthikul P., “Application of Neuro-fuzzy Modeling Technique for Operational Problem Solving in a CO2 Capture Process System,” International Journal of Greenhouse Gas Control, 2013, 15, 32-41.

    [38]    Julong Z., “Grey Theoretical Basis,” Wuhan: Huazhong University of Science Technology Press, 2002, 35-76.

    [39]    Xuanmin Z. and Kang X., “An Application of Grey Correlation Analysis to the Study about the Influencing Factors of Oil-gas Production Cost,” Journal of Xi’an Shiyou University (Social Science Edition), 2011, 20(6), 5-9.

    [40]    Yanming P., Hongyan G., and Zhicheng Y., “Examples of the Development of Foreign Oilfield Gas Injection,” Beijing: Petroleum Industry Press, 2001, 244-253.