In the context of constant external economic changes, the relevant task in the development of oil and gas companies in effective solution of incoming business challenges, is to increase hydrocarbon production along with cost optimization. In this regard, the verification of residual oil reserves with the simultaneous search for ways to increase the profitability of business cases becomes an urgent task. Due to the presence of complicating factors, the energy state of the reservoir and the gathering system, a number of problems related to non-achievement of oil production objectives are arose. For this reason, it becomes extremely important to have an integrated approach to solving this problem.
The article considers a practical implementation of the recoverable production efficiency module on the example of the Gazprom Neft operating fields. The full cycle process involves both a high-level assessment of the current object/field development condition and the detection of possible geological, technological and infrastructure problems that affect the oil production profiles and the achievement of planned development indicators. The algorithm of the developed module makes it possible to analyze each section particularly based on various attributes, to assess the current object condition based on the calculation of two rates (the rate of complexity and the rate of development), which prove an opportunity to predict oil production both in the short and long terms. Automation of this module allows to make a decision for the development of an additional program of well interventions, as well as significantly save engineers time.
References
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