Automation of calculations in the conceptual infrastructure design with the probabilistic selection of fluid extraction profiles

Background. This article is devoted to the automation of engineering tasks, taking into account the probabilistic nature of the active, in the face of a huge number of fluid production profiles, using MEFS technology.

Aim. Development of original algorithms for calculating facilities at the early stages of the project life, determining the physical and cost characteristics of capital construction objects, taking into account the uncertainty of the volume of the resource base, variations in the exploration program, determining the optimal solutions for the concept of development and field facilities under current economic conditions.

Materials and methods. Automation of calculations in terms of development at payback levels MEFS I and II was implemented by estimating the costs per unit well on a well pad. Further, the costs are multiplied by the number of wells in accordance with the well construction and commissioning schedule, as a result of which the total cost of infrastructure facilities for these payback levels is formed. At the MEFS III level, the costs for the construction of facilities for the preparation of well products and external transport of marketable products are added to the costs of the previous level. The task of automating the development block at this level is to correctly scale the physical and cost parameters of infrastructure facilities for the selected development concept.

Results. To perform probabilistic calculations of infrastructure, specialists of the Center for Project Evaluation and Analysis developed the calculation module “Arrangement”. This tool allows you to create an integrated probabilistic model “development-infrastructure-economy” for the “Access” stage. The calculation time for one option is about 5 seconds.

Conclusion. The tool proposed by the authors makes it possible to perform infrastructure calculations with sufficient accuracy and speed during probabilistic assessment in the early stages of a project’s life using MEFS technology.

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