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Improved Multiphase Flow Rate Models for Chokes in the Algerian HMD Oil Field
Arabian Journal for Science and Engineering ( IF 2.6 ) Pub Date : 2020-10-06 , DOI: 10.1007/s13369-020-04971-z
Nour ElHouda Tellache , Meriem Waffa Hassen , Mohamed Otmanine , Mohamed Khodja

Accurate prediction of multiphase flow rate is of prime importance in controlling production of oil fields. Direct measurements using multiphase meters are time-consuming and very costly. On the other hand, none of the published models can be considered as a universal model and most of these models are designated only for the critical flow. The aim of this study is to develop and validate practical models for the Algerian Hassi Messaoud (HMD) oil field covering both critical and subcritical multiphase flows through chokes of naturally flowing and gas lift wells. The new choke models are developed on the basis of the Gilbert model by incorporating the downstream pressure of the choke under the subcritical conditions. A large data set is used to evaluate the new models and to compare their performance with previously published prediction models. These data are divided, for each flow regime, into five selected categories based on the gas–oil ratio and a nonlinear regression algorithm is implemented to validate the new models. The comparison revealed the accuracy of two new models that improved the predicted production rates of the current model of HMD field in 130 wells out of 174 and the sum of absolute differences between the measured and the predicted oil flow rates (SAD) was reduced by 16.68% on 6,786 measurements. For the wells that are assisted with gas lift, the predictability was improved considerably: There was improvement in 85 wells out of 93 and the SAD was reduced by 42.11% on 2,317 measurements.



中文翻译:

阿尔及利亚HMD油田节流阀的改进多相流率模型

在控制油田生产中,准确预测多相流速至关重要。使用多相仪表进行直接测量既耗时又非常昂贵。另一方面,没有一个已发布的模型可以被认为是通用模型,并且这些模型中的大多数仅被指定用于关键流程。这项研究的目的是开发和验证适用于阿尔及利亚Hassi Messaoud(HMD)油田的实用模型,该模型涵盖通过自然流动井和气举井的节流孔形成的临界和亚临界多相流。新的节流阀模型是在吉尔伯特模型的基础上开发的,其中纳入了亚临界条件下的节流阀下游压力。大数据集用于评估新模型并将其性能与以前发布的预测模型进行比较。对于每种流动状态,这些数据根据气油比分为五个选定的类别,并采用非线性回归算法来验证新模型。比较结果表明,两种新模型的准确性提高了当前HMD油田模型在174口井中的130口井的预测生产率,并且实测和预测油流速(SAD)之间的绝对差之和减少了16.68。对6,786个测量结果的百分比。对于有气举辅助的油井,可预测性得到了显着提高:93口井中有85口井得到了改善,在2,317次测量中SAD降低了42.11%。比较结果表明,两种新模型的准确性提高了当前HMD油田模型在174口井中的130口井的预测生产率,并且实测和预测油流速(SAD)之间的绝对差之和减少了16.68。对6,786个测量结果的百分比。对于有气举辅助的油井,可预测性得到了显着提高:93口井中有85口井得到了改善,在2,317次测量中SAD降低了42.11%。比较结果表明,两种新模型的准确性提高了当前HMD油田模型在174口井中的130口井的预测生产率,并且实测和预测油流速(SAD)之间的绝对差之和减少了16.68。对6,786个测量结果的百分比。对于有气举辅助的油井,可预测性得到了显着提高:93口井中有85口井得到了改善,在2,317次测量中SAD降低了42.11%。

更新日期:2020-10-07
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