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Artificial Intelligence Transforms Offshore Analog Fields Into Digital Fields

Currently, no cost-effective method exists to efficiently, reliably, and accurately capture analog meter readings in a digital format. This paper details how artificial intelligence was used to capture analog field-gauge data with a dramatic reduction of cost and an increase in reliability. This solution was implemented in the Cheleken oil field in the Caspian Sea offshore Turkmenistan. During the field trial, operators were required to take pictures of the gauges at given intervals and upload the photos to the application. After an innovative process of calibration, the acquired images were processed using artificial intelligence and deep-learning computer techniques.

Introduction

Digitizing an oil field is an exciting but costly exercise that requires close supervision to avoid inefficiency. Best results are achieved when priorities and objectives are defined early in the project. For instance, if the objective is cost savings, then digitization should be applied in a manner different from that used in production optimization. Regardless of the objective, implementation of the digital oil field is a constant battle against cost and time.

The most effective value is achieved without 100% digitalization. Often this fact is overlooked, and during the digitization of the field, extra cost is incurred without tangible improvements in the value because the oil field is not homogeneous and not all parameters need to be monitored or optimized with digital devices. For instance, 90% of production comes from 10–20% of the wells in most fields. In digitizing by priority, early value can be brought to the project as stakeholders are encouraged to grow the digitization effort from a monitoring perspective to value maximization.

This article, written by JPT Technology Editor Chris Carpenter, contains highlights of paper SPE 195027, “Turning an Offshore Analog Field to Digital Using Artificial Intelligence,” by Roberto Espinoza, SPE, Dragon Oil, and Jimmy Thatcher and Morgan Eldred, Digital Energy, prepared for the 2019 SPE Middle East Oil and Gas Show and Conference, Manama, Bahrain, 18–21 March. The paper has not been peer reviewed.
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Artificial Intelligence Transforms Offshore Analog Fields Into Digital Fields

01 January 2020

Volume: 72 | Issue: 1

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