A STANDARDISED MODEL TO QUANTIFY THE FINANCIAL IMPACT OF POOR ENGINEERING INFORMATION QUALITY IN THE OIL AND GAS INDUSTRY

A STANDARDISED MODEL TO QUANTIFY THE FINANCIAL IMPACT OF POOR ENGINEERING INFORMATION QUALITY IN THE OIL AND GAS INDUSTRY

ndustry needs quality data, but digital formats increase the risk of lost data quality, implying huge risk. The benefits of data quality are difficult to calculate in order to justify the expense. A survey was developed and validated at an operating asset as a precedent. The elements are productivit...

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Bibliographic Details
Main Authors: Coetzer, Emile Otto, Vlok, P. J.
Format: Article
Language:English
Published: Stellenbosch University 2019-12-01
Series:South African Journal of Industrial Engineering
Subjects:
data quality
engineering
oil & gas
monte carlo simulation
Online Access:http://sajie.journals.ac.za/pub/article/view/2080

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