High-level architecture for a digital oilfield: features of the transition to data-driven decision management

A O Savelev

doi:10.1088/1757-899x/1019/1/012087

Abstract

This paper is devoted to the design of a distributed heterogeneous data warehouse of a digital oilfield. With increasing amounts of data collected from intelligent controllers and sensors, the lack of mechanisms for combining data from different sources and providing them to consumers affect the overall management efficiency. In addition, without it is impossible making the next logical step – the effective application of intelligent analysis methods. The paper describes the high-level architecture, as well as subsystems of operational management and decision support. The presented data are intermediate results of the project “Digital oilfield heterogeneous distributed data warehouse for informational support of decision-making processes”.

Highlights

Today, due to the development of digital oilfield (DOF) technologies, there are virtually no production and management tasks in the field of oil production, the solution of which would not be automated to one degree or another
Due to the complexity of the digital oilfield, due to the nature and composition of the appropriate management tasks, the lack of integration between the multitudes of existing software solutions prevents the formation of single information space of the enterprise
Because DOF data sources usually exist autonomously from the analytical module, the priority is to create a system for integrating data from heterogeneous sources into a single repository for quick and efficient search and retrieval of data needed by an expert

Summary

Introduction

Due to the development of digital oilfield (DOF) technologies, there are virtually no production and management tasks in the field of oil production, the solution of which would not be automated to one degree or another. Several software solutions automate the main tasks of oilfield development management. Authors of papers [6,7] considered the existing groups of Energetics consortium international standards as a way to ensure the uniformity of data presentation. The advantage of these standards is their data schemes, covering a wide range of oil industry elements.

Published under licence by IOP Publishing Ltd

Data Source data format n

Dependency Model

Information Consumers