Mathematical model for forecasting hydrocarbon production based on time dependences of development periods of oil and natural gas fields

M. Kaplin, Tetyana Bilan, V. Makarov, M. Perov
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Abstract

An optimization model for forecasting hydrocarbon production in uncertain information conditions regarding the prospects for the development of natural gas and oil resources and reserves is proposed. The model is based on the presentation of options for the development of active fields with approximate dependences of the volume of potential annual production on the implemented measures and technologies for increasing the efficiency of gas extraction, as well as statistical information on the distribution of new fields by the reserves and depths volume of occurrence with the corresponding costs for the field’s development. In order to take into account the characteristic patterns of exploitation of natural gas and oil fields in the objective of forecasting the development of the relevant sectors of the country's economy, approximate time dependences of the production volume of a hydrocarbon field during a limited period of its development are proposed. The method of using sets of binary variables to represent the non-smooth and non-linear dependences of hydrocarbon resource extraction volumes on time during the periods of field development is presented. The optimization approach basis to the problem of forecasting the development of the oil and gas production industry regarding the substantiation of the expedient terms of putting new natural gas and oil fields into operation, taking into account the possibilities of intensifying the production of existing fields, is proposed. The optimization model for forecasting hydrocarbon production can be considered as a methodical tool for developing programs for the development of oil and gas production in the country in the context of solving applied planning problems. The calculations result of forecast volumes of natural gas production, obtained using the developed software and information support of the model, are presented. The implemented algorithms of non-linear optimization made it possible to form a volume forecast of natural gas production in Ukraine for the period until 2040, which takes into account the types of natural gas deposits available in the country and the possibility assessment of their development over time. Keywords: gas industry, forecasting, mining, technology, production forecasting model
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基于油气田开发时期时间依赖性的油气产量预测数学模型
提出了在不确定信息条件下油气资源开发前景和储量预测的油气产量优化模型。该模型的基础是提出了开发活动油田的备选方案,这些方案的潜在年产量近似依赖于提高天然气开采效率的实施措施和技术,以及根据储量和产层深度分布的新油田的统计信息,以及相应的开发成本。为了在预测国家经济相关部门发展的过程中考虑到天然气和油田开采的特征模式,提出了一个油气田在其开发的有限时期内产量的近似时间依赖性。提出了用二元变量集来表示油气田开发过程中油气资源采出量随时间的非光滑非线性关系的方法。针对在确定新油气田投产有利条件的基础上,考虑到现有油气田增产的可能性,提出了预测油气生产行业发展的优化方法。在解决应用规划问题的背景下,油气产量预测的优化模型可以被认为是制定国家油气开发方案的有条理的工具。给出了利用开发的软件和模型的信息支持,对天然气产量预测量的计算结果。所实施的非线性优化算法使得对乌克兰到2040年的天然气产量进行预测成为可能,该预测考虑了该国现有天然气矿床的类型以及随着时间的推移对其开发的可能性进行评估。关键词:天然气工业,预测,开采,技术,产量预测模型
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