首页|N区块底水油藏不同夹层油井见水时间预测公式参数优化

N区块底水油藏不同夹层油井见水时间预测公式参数优化

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底水油藏底水锥进,使油井过早见水,导致含水率快速上升,产油量快速递减,为改变这些不利因素,提前预测油井的见水时间显得尤为重要.通常,底水油藏按照夹层渗透性质可分为无夹层井区和不渗透性夹层井区.本研究首先选用合理的预测见水时间公式,结果表明无夹层井区油井预测见水时间与实际见水时间最大绝对误差为 11.1 d,最大相对误差 5.6%;不渗透性夹层井区油井预测见水时间与实际见水时间最大绝对误差为 19.0 d,最大相对误差 7.2%;此外,在无夹层井区添加人工隔板抑制底水锥进,可使该井区的油井见水时间得到不同程度的延缓.本研究运用Eclipse数值模拟软件优化最佳地层垂向渗透率系数α,结果表明采出程度为 20.1%,较未优化前提高了 3.9%;综合含水率下降了4.7%,累计产油量增加了 250×103m3.最后,鉴于不渗透性夹层见水时间可受多种因素影响,本研究采用正交试验设计并结合各因子R值结果可见极差最大是夹层半径rb,根据极差排序将影响模型预测见水时间参数由大到小排序,排序结果得到最佳组合方案,即:夹层半径rb>夹层距油水界面高度hb>油井的打开程度b>产油量qo,方案使得预测累计产油量增加了 383×103m3(5%),采出程度提高了 4%.
Optimization of the parameters of the prediction formula for the time to see water in wells with different entrapments in block N bottom-water reservoirs
Bottom-water reservoir bottom-water cone into,so that the oil wells see water too early,resulting in rapid increase in water content,oil production rapidly decreasing,in order to change these unfavorable factors,early prediction of the time to see water in the oil wells is particularly important.Usually,bottom-water reservoirs can be divided into non-interca-lated wells and impermeable intercalated wells according to the nature of intercalation per-meability.In this study,firstly,a reasonable formula for predicting the time to see water is chosen,and the results show that the maximum error time between the predicted time to see water and the actual time to see water in wells in the non-intercalated well zone is 11.1 d,with a relative error of 5.6%.The maximum error time between the predicted water sighting and actual water sighting of wells in the impermeable intercalated well zone is 19.0 d,with a relative error of 7.2%.Moreover,the addition of artificial interbedding to inhibit the bottom-water coning in the uninterbedded well zone can delay the water sighting time of the wells in this well zone to different degrees.In this study,Eclipse numerical simulation software was used to optimize the optimal stratigraphic vertical permeability coefficient α.The results showed that the degree of recovery was 20.1%,which was 3.9%higher than that before the unoptimized.The integrated water content decreased by 4.7%,and the cumulative oil produc-tion increased by 250×103m3.Finally,in view of the impermeable interlayer water time can be affected by a variety of factors,this study uses orthogonal experimental design and combines the results of the R value of each factor can be seen in the largest extreme difference is the interlayer radius rb.According to the extreme difference in the order of the influence of the model prediction of the time to see the water parameter in descending order,the results of the ranking to get the optimal combination of the program,that is,the interlayer radius rb>in terlayer from the height of the interface between oil and water hb>the degree of openness of the wells b>the amount of production of qo.The program so that the prediction of the cumula-tive amount of production of 383×103m3(5%),and the degree of extraction increased by 4%.

bottom-water reservoirstime to see waterinterlayernumerical simulationor-thogonal experimental design

闫文华、张昊、张祺、王威翔、相欣、王晨竹

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东北石油大学提高油气采收率教育部重点实验室,黑龙江大庆 163318

底水油藏 见水时间 夹层 数值模拟 正交试验设计

国家科技重大专项

2016ZX05012-002-006

2024

石油化工应用
宁夏化工学会

石油化工应用

影响因子:0.276
ISSN:1673-5285
年,卷(期):2024.43(1)
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