OML-ZZZ:水量预测改进

Raphael Agbehi, Ugochukwu Aboaja, Rotimi Osho
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引用次数: 0

摘要

对油气生产过程中所有流体流进行可靠的产量预测一直是油气行业的一个长期难题。本文介绍了在尼日利亚尼日尔三角洲OML-ZZZ油田所有生产油田和油藏管理中对水量预测方法进行改进的方法和结果。我们研究的主要目的是确定和评估一种实现水/液体预测的方法,这种方法代表了现场观察到的趋势——这是我们油田计划水脱水设施规模的关键输入。我们的研究使用了一个集成的产量预测解决方案模型,结合相关的工程和地球科学数据,在预测受系统约束的其他流体流的同时,优化了石油产量。通过对已经达到弃井的退出井的弃井情况的回顾,作为预测生产井的类比,提高了水预测的精度。在此基础上,我们确定并应用了推荐的BSW条件,这些条件能够更好、更现实地预测总液体和水产量。这些改进预测的好处包括石油产量的增加和适当的设备/设施规模等。
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OML-ZZZ: Water Production Forecasting Improvement
Reliable production forecasting of all fluid streams involved in hydrocarbon production has remained a perennial problem in the oil and gas industry. This paper presents the methodology and results of an improvement to the water forecasting approach adopted in the management of all the producing fields and reservoirs of OML-ZZZ located in the Niger Delta area of Nigeria. The main objective of our study was to identify and evaluate a means of achieving water/liquid forecast that is representative of field observed trends – a key input for the sizing of planned water dehydration facilities for our fields. Our study made use of an integrated production forecasting solution model with the associated engineering and geoscience data, which optimizes on oil production while forecasting the other fluid streams subject to defined system constraints. Improvement in water forecast was achieved through a review of the abandonment conditions of quit wells which have already reached their abandonment as analogues for producing wells being forecasted. Based on the review, we identified and applied recommended tranches of BSW conditions which have enabled better and more realistic forecasts of gross liquid and water production. The benefits of these improved forecasts include an increase in oil volumes and proper equipment/facilities sizing among others.
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Application of Machine Learning Algorithm for Predicting Produced Water Under Various Operating Conditions in an Oilwell Gas Condensate Well Deliverability Model, a Field Case Study of a Niger Delta Gas Condensate Reservoir Assessment of Nigeria's Role in the Global Energy Transition d Maintaining Economic Stability Prediction of Scale Precipitation by Modelling its Thermodynamic Properties using Machine Learning Engineering Cost Optimization by Designing an Ultra-Slim Horizontal Well in the Niger Delta – The Eremor Field Case Study
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