The integrated conceptual design as a tool of systematic engineering

UDK: 519.868:622.276.1/.4
Key words: engineering, integrated conceptual design, complex approach, capital cost optimization, cost engineering Theses
Authors: V.P. Batrashkin, R.R. Ismagilov, R.A. Panov (Gazprom Neft Razvitie LLC, RF, Saint Petersburg), A.F. Mozhchil, N.Z. Gilmutdinova, D.E. Dmitriev (Gazpromneft NTC LLC, RF, Saint Petersburg)

Gazprom Neft PJSC is interested integrated approaches to conceptual engineering due to reduction of proven reserves and development of new areas with high levels of complexity and uncertainty; development of new areas with an underdeveloped infrastructure; large number of development targets and the need for quick engineering calculations.

To maintain production levels at brownfields we need to focus on improving operation efficiency, efficient development and rapid response to changes in the macro-environment. In such circumstances to make sound technological solutions is necessary at every stage of the design: when regard the interconnection of the reservoir, wells and ground infrastructure; when perform the multiple calculations in conditions of uncertainty; when assess the cost of drilling and infrastructure.

A uniform digital platform for the engineering models of different systems is considered in the framework of conceptual engineering enable to significantly improve the effectiveness of work.

Uniform design tool allows automation of calculations and implementation of the optimization algorithms; implementation the large number of calculation for the initial data, which are given by the uncertainty intervals; automation of data transmission between the individual functional units.

The system architecture is based on a modular principle and enables us to develop tools in phases. Each software module is able to solve local tasks to find local solutions in a separate discipline (area of knowledge), by which, in conceptual design calculations are performed. The key module Integrator communicates modules to each other and implements an iterative approach to solving the optimization problem to reduce the total cost of drilling and infrastructure.
 

References

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