Data management maturity model (DM3) for an exploration and production company

The search for hydrocarbon deep in the subsurface depends greatly on the data and information about the subsurface structure. Exploration and Production companies around the globe are investing big to ensure they are at the heading the race to discover new hydrocarbon as the easy oil era has passed...

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Bibliographic Details
Main Author: Nurazlan Iskandar Che Hussin @ Zakaria,
Format: Thesis
Language:English
Published: 2012
Subjects:
Online Access:http://eprints.utm.my/id/eprint/48127/1/NurazlanIskandarCheHussin%40ZakariaMFKM2012.pdf
http://eprints.utm.my/id/eprint/48127/
http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:81788?queryType=vitalDismax&query=+Data+management+maturity+model+%28DM3%29+for+an+exploration+and+production+company&public=true
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Summary:The search for hydrocarbon deep in the subsurface depends greatly on the data and information about the subsurface structure. Exploration and Production companies around the globe are investing big to ensure they are at the heading the race to discover new hydrocarbon as the easy oil era has passed and more of unconventional resources emerge. One area of investment is about acquiring geological and geophysical data from the subsurface, managing oil and gas fields’ development and production data. Over the years, exploration and productions companies are seeking ways to measure the progress and impact of the investment to the business, while developing and sustaining the capabilities to manage the complex data. A maturity model approach is proposed as a methodology to achieve these objectives of measuring the progress and impact of data management for the exploration and production companies. As such, this project was commissioned to explore the best practices of maturity model and adopt the best fit for purpose model which will help exploration and production companies to measure their progress and impact of data management. It gathered and analyzed available maturity models and recommended the adoption of maturity models which had met the requirement of the project. Then, the established maturity model, referred as Data Management Maturity Model (DM3) was tested for an area of the business. The results of the assessment indicated the DM3 had provided the means to measure the progress and impact of data management to an organization.