Statistical modeling of oil reservoir life cycle

被引：0
|
作者：
20162302457639
机构：
来源：
(1) Oil Gas Scientific Research Project Institute, SOCAR, Azerbaijan; (2) National Company KazMunayGas JSC, Kazakhstan | 1600年 / Society of Petroleum Engineers期
关键词：
Traditional approaches to the problem of oil field life cycle partitioning onto the successive stages is mainly based on heuristic evaluations with no well-defined criteria. To solve this problem; we proposed a stage wise structuring based on the identification of the current oil production distribution in the individual stages and isolation of adjacent stages' boundary points defining the duration of each stage. Using statistical analysis of experimental data on development of a large number (more than twenty) of specific fields reduced into one generalized deposit followed The Savitzky-Golay smoothing filter shows that the life cycle of the field can be divided into four successive stages which are definitely described as logarithmically normal; exponential; Pareto and Weibull distributions Using non-linear logistic model for the cumulative oil production in the last fourth stage of the life cycle a computational procedure has been developed for assessing the initial recoverable reserves; as well as the method for estimating the maximum level of oil production has been proposed. The method is based on finding inflection point of the curve describing the dynamics of cumulative oil production; by examining second order differences. Based on the values of cumulative oil production in the later points of the final development stages oil production was predicted and the design parameters for the current development system were evaluated using adaptive Kalman filter in discrete time. Copyright 2015; Society of Petroleum Engineers;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
119993
引用
收藏
相关论文
共 50 条
  • [1] Statistical Modeling of Life Cycle of Oil Reservoir Development
    Suleimanov, Baghir Alekper
    Ismailov, Fakhreddin Sattar
    Dyshin, Oleq Aleksandrovich
    Keldibayeva, Svetlana Sirlibayevna
    [J]. JOURNAL OF THE JAPAN PETROLEUM INSTITUTE, 2014, 57 (01) : 47 - 57
  • [2] Statistical Modeling of the Life of an Oil Pipeline under Torque
    Kucheryavyi, V. I.
    Mil'kov, S. N.
    [J]. JOURNAL OF MACHINERY MANUFACTURE AND RELIABILITY, 2012, 41 (05): : 426 - 430
  • [3] Statistical proxy modeling for life cycle assessment and energetic analysis
    Masnadi, Mohammad S.
    Perrier, Patrick R.
    Wang, Jingfan
    Rutherford, Jeff
    Brandt, Adam R.
    [J]. ENERGY, 2020, 194
  • [4] LOW CYCLE FATIGUE: PROBABILITY AND STATISTICAL MODELING OF FATIGUE LIFE
    Harlow, D. Gary
    [J]. ASME PRESSURE VESSELS AND PIPING CONFERENCE - 2014, VOL 6B, 2014,
  • [5] Agent-based modeling of the complex life cycle of a cyanobacterium (Anabaena) in a shallow reservoir
    Hellweger, Ferdi L.
    Kravchuk, Elena S.
    Novotny, Vladimir
    Gladyshev, Michail I.
    [J]. LIMNOLOGY AND OCEANOGRAPHY, 2008, 53 (04) : 1227 - 1241
  • [6] Statistical Modeling of the Residual Life of an Oil and Gas Pipeline under Alternating Pressure
    Kucheryavyi, V. I.
    Mil'kov, S. N.
    [J]. JOURNAL OF MACHINERY MANUFACTURE AND RELIABILITY, 2014, 43 (02): : 176 - 181
  • [7] Seismic chronostratigraphy at reservoir scale: Statistical modeling
    He, Yawen
    Zeng, Hongliu
    Kerans, Charles
    Hardage, Bob A.
    [J]. INTERPRETATION-A JOURNAL OF SUBSURFACE CHARACTERIZATION, 2015, 3 (02): : SN69 - SN87
  • [8] Statistical analyses of reservoir and fracturing parameters for a multifractured shale oil reservoir in Mississippi
    Yang, Xu
    Guo, Boyun
    [J]. ENERGY SCIENCE & ENGINEERING, 2020, 8 (03): : 616 - 626
  • [9] Life cycle of transformer oil
    Durdevic, Ksenija R.
    Vojinovic-Miloradov, Mirjana
    Sokolovic, Slobodan M.
    [J]. HEMIJSKA INDUSTRIJA, 2008, 62 (01) : 37 - 46
  • [10] STATISTICAL MODELING FOR LOW CYCLE FATIGUE
    Harlow, D. Gary
    [J]. TMS 2014 SUPPLEMENTAL PROCEEDINGS, 2014, : 639 - 646
12345