低渗透油藏油井递减后产量递减不确定性评价方法EVALUATING METHOD OF THE PRODUCTION DECLINE UNCERTAINTY FOR LOW PERMEABILITY OIL RESERVOIRS
丁冠阳,黄世军,张雪娇
DING Guanyang,HUANG Shijun,ZHANG Xuejiao
摘要(Abstract):
针对低渗透油藏产量递减评估问题,建立了产量递减的不确定性分析方法,并明确了参数不确定性对累计产量的影响。通过分析某低渗透油藏的生产数据,确定了油藏初始产量、递减指数、递减率所满足的概率分布函数,考虑油藏非均质性的影响,利用蒙特卡洛方法,预测了油井产量的变化,并开展主控因素的不确定性分析。结果表明:不确定性递减分析方法预测了不同概率下的产量递减情况,依次得到油井有10%、50%、90%可能达到的评估结果,相较于传统方法,更准确地反映了油藏的生产变化;递减指数和递减率的不确定范围对累计产量的预测精度影响很大,而对初始产量的影响较小。新建立的产量递减不确定性预测方法能够提高低渗透油藏产量评估的可靠性,为优化低渗油藏开发效果提供借鉴。
In the light of the problem of the production decline assessment for low permeability oil reservoirs,the uncertainty analyzing method of the decline was established,and moreover the influences of the parameter uncertainty on the cumulative production were clarified. With the help of the analyses of the production data of a certain low-permeability oil reservoir,the probability distribution functions of the initial production,decline exponent and decline rate were determined,considering the effects of the reservoir heterogeneity,Monte Carlo method was used to predict the changes of the oil well production,at the same time,the uncertainty analyses of the main control factors were conducted. The achievements show that the production decline conditions under different probabilities can be predicted through the uncertainty decline method,and the evaluation results of P10,P50 and P90 of the wells can be obtained,as a result,the changes of the reservoir production are more accurate comparing with the traditional methods; the uncertainty ranges of the decline exponent and decline rate have a great effects on the predicted-precision of the the cumulative production,while they have little effects on the initial production. The newly-establisheduncertainty forecasting method of the production declinecan improve the reliability inthe production assessment for low-permeability oil reservoirs and provide the references for optimizing the development effects of the low-permeability oil reservoirs.
关键词(KeyWords):
递减曲线;蒙特卡洛;不确定性分析;产量评估
decline curve;Monte Carlo;uncertainty analysis;production evaluation
基金项目(Foundation): 国家自然科学基金项目“页岩储层纳孔微缝耦合系统全息表征方法研究”(41672132)
作者(Author):
丁冠阳,黄世军,张雪娇
DING Guanyang,HUANG Shijun,ZHANG Xuejiao
DOI: 10.19597/J.ISSN.1000-3754.201703007
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