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首页 > 过刊浏览>2019年第34卷第11期 >2498-2504. DOI:10.13195/j.kzyjc.2018.0370
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低渗透油井产能预测的灰建模
作者:
作者单位:

(1. 长江大学信息与数学学院，湖北荆州434023;2. 长江大学石油工程学院，湖北荆州434023;3. 平顶山学院数学学院，河南平顶山467000)

通讯作者:

E-mail: xin3fei@21cn.com.

中图分类号:

N941.5

基金项目:

国家自然科学基金项目(11871118).


Grey modeling based on productivity prediction of low permeability wells
Author:
Affiliation:

(1. School of Information and Mathematics,Yangtze University,Jingzhou434023,China;2. School of Petroleum Engineering,Yangtze University,Jingzhou434023,China;3. School of Mathematics Science,Pingdingshan University,Pingdingshan467000,China)

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    摘要:

    针对低渗透油井产能预测问题,分析低渗透油井渗流的力学机理,考虑启动压力梯度、应力敏感性和压裂增产措施的影响,建立油井产量模型.结合灰色特性建立油井产能预测灰色模型(WPGM(1,1)),推导出模型的参数求解公式和模型的求解算法.采用函数变换提高WPGM(1,1)模型的精度,并运用WPGM(1,1)模型预测低渗透油井的产量.实例分析表明,所提出的算法和模型均可行且有效.

    Abstract:

    The problem of the productivity prediction of the low permeability wells is considered. By analyzing the seepage flow mechanics mechanism of low permeability wells, and considering the factors of threshold pressure gradient(TPG), stress sensitivity and fracturing stimulation, the production model of low permeability wells is established. The grey model of well productivity prediction(WPGM(1,1)) is obtained by using the grey theory, also the formula of parameters solution and the algorithm of solution of the model are derived. The accuracy of WPGM(1,1) model is improved by function transformation, and the output of low permeability wells is predicted by using the WPGM(1,1) model. Numerical example analysis show that the proposed algorithm and model are feasible and effective.

    参考文献
    [1]胡文瑞, 魏漪, 鲍敬伟.中国低渗透油气藏开发理论与技术进展[J].石油勘探与开发, 2018, 45(4): 1-11.(Hu W R, Wei Y, Bao J W.Developments of the theory and technology for low permeability reservoirs in China[J].Petroleum Exploration and Development, 2018, 45(4): 1-11.)
    [2] Guo C H, Xu J C, Wei M Z, et al.Experimental study and numerical simulation of hydraulic fracturing tight sandstone reservoirs[J].Fuel, 2015, 159(11): 334-344.
    [3] Liu W C, Yao J, Chen Z X, et al.Effect of quadratic pressure gradient term on a one-dimensional moving boundary problem based on modified Darcy's law[J].Acta Mechanica Sinica, 2016, 32(1): 38-53.
    [4] Wang X K, James J Sheng.Effect of low-velocity non-Darcy flow on well production performance in shale and tight oil reservoirs[J].Fuel, 2017, 190(2): 41-46.
    [5] Zeng B Q, Cheng L S, Li C L.Low velocity non-linear flow in ultra-low permeability reservoir[J].Journal of Petroleum Science and Engineering, 2012, 80(1): 1-6.
    [6] Li S Q, Cheng L S, Li X S, et al.Nonlinear seepage f1ow of ultralow permeability reservoirs[J].Petroleum Exploration and Development, 2008, 35(5): 606-612.
    [7] Huang S, Yao Y D, Zhang S, et al.Pressure transient analysis of multi-fractured horizontal wells in tight oil reservoirs with consideration of stress sensitivity[J].Arabian Journal of Geosciences, 2018, 11(11): 1-7.
    [8] 史兴旺, 杨正明, 段小浪, 等.低渗透碳酸盐岩油藏水驱油相似理论研究[J].油气地质与采收率, 2018, 25(1): 82-89.(Shi X W, Yang Z M, Duan X L, et al.Study on similarity theory of water flooding in low permeability carbonate reservoir[J].Petroleum Geology and Recovery Efficiency, 2018, 25(1): 82-89.)
    [9] 柴汝宽, 刘月田, 王俊强, 等.基于两相启动压力梯度和应力敏感的油藏油井产能模型研究[J].西安石油大学学报: 自然科学版, 2018, 33(3): 44-50．(Chai R K, Liu Y T, Wang J Q, et al． Study on productivity model of oil well in low-permeability reservoirs based on twophase threshold pressure gradient and stress sensitivity[J].Journal of Xián Shiyou University: Natural Science Edition, 2018, 33(3): 44-50.)
    [10] 范志, 焦宝, 陆雪皎, 等.姬塬长8油藏油井压裂增产措施效果分析[J].石油化工应用, 2015, 34(12): 39-41.(Fan Z, Jiao B, Lu X J, et al.Effect analysis of fracturing stimulation to Chang 8 oil well in Jiyuan area[J].Petrochemical Industry Application, 2015, 34(12): 39-41.)
    [11] 孙广君,马昕,杜孝兰.吉林油田压裂增产措施的适应性分析[J].油气井测试 , 2015, 24(4): 62-64.(Sun G J, Ma X, Du X L.Adaptability analysis of fracturing stimulation to Jilin oilfield[J].Well Testing, 2015, 24(4): 62-64.)
    [12] 刘义坤, 孙娜, 文华.大庆外围低渗透油田产量递减分形特征及预测[J].油气地质与采收率, 2008, 15(6): 80-82.(Liu Y K, Sun N, Wen H.Fractal characteristics and grey model forecasting of production decline of peripheral low permeability oil field of daqing[J].Petroleum Geology and Recovery Efficiency, 2008, 15(6): 80-82.)
    [13] 林德纯.灰色系统在预测递减阶段气井产量中的应用[J].重庆科技学院学报: 自然科学版, 2011, 13(4): 56-58.(Lin D C.Application of grey mode in gas production prediction of decline stage[J].Journal of Chongqing University of Science and Technology: Natural Science Edition, 2011, 13(4): 56-58.)
    [14] Huang M T, Bu W R.Based on the grey relation analysis of low producing oil well production application[C].The 3rd International Conference on System Science, Engineering Design and Manufacturing Informatization.Chengdu: IEEE, 2012: 76-78.
    [15] 黄延章.低渗透油层渗流机理[M].北京:石油工业出版社, 1998: 80-92.(Huang Y Z.Seepage mechanism of low permeability reservoir [M].Beijing : Petroleum Industry Press, 1998: 80-92.)
    [16] 彭珏.低渗透油藏多因素产能预测模型[J].重庆科技学院学报: 自然科学版, 2013, 15(3): 61-65.(Peng J.Low permeability reservoir model of multi-factor productivity prediction[J].Journal of Chongqing University of Science and Technology: Natural Science Edition, 2013, 15(3): 61-65.)
    [17] 刘思峰, 谢乃明.灰色系统理论及其应用[M].第6版.北京:科学出版社, 2013: 40-42.(Liu S F, Xie N M.The theory and application of grey system[M].6th ed.Beijing: Science Press, 2013: 40-42.)
    [18] 钱吴永, 党耀国.一种新型数据变换技术及其在GM(1,1)模型中的应用[J].系统工程与电子技术, 2009, 31(12): 2879-2881.(Qian W Y, Dang Y G.New type of data transformation and its application in GM(1,1) model[J].Systems Engineering and Electronics, 2009, 31(12): 2879-2881.)
    [19] Wei Y, Zhang Y.A criterion of comparing the function transformations to raise the smooth degree of grey modeling data[J].Journal of Grey System, 2007, 19(1): 91-98.
    [20] 郭金海, 肖新平, 杨锦伟.函数变换对灰色模型光滑度和精度的影响[J].控制与决策, 2015, 30(7): 1251-1256.(Guo J H, Xiao X P, Yang J W.The effect on the grey model's smoothness and accuracy by using function transformation[J].Control and Decision, 2015, 30(7): 1251-1256.)
    [21] 荆科, 刘业政.GM(1,1)模型的病态性问题再研究[J].控制与决策, 2016, 31(5): 869-874.(Jing K, Liu Y Z.Study on the morbidity problem of GM(1,1) model[J].Control and Decision, 2016, 31(5): 869-874.)
    [22] 王俊芳, 罗党.振荡序列的分数阶离散GM(1,1)幂模型及其应用[J].控制与决策, 2017, 32(1): 176-180.(Wang J F, Luo D.Fractional order discrete grey GM(1,1) power model based on oscillation sequences and its application[J].Control and Decision, 2017, 32(1): 176-180.)}
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郭金海,李军亮,杨雪,等.低渗透油井产能预测的灰建模[J].控制与决策,2019,34(11):2498-2504

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