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Abstract

In order for petroleum exploration activities to progress in the innovative use of the latest technology, and achieve the commendable result of ensuring more discoveries, technology must be underlain by a foundation of effective information management (Nor, 2001). The petroleum industry continues to grow as one of the largest and most intensive creators and consumers of digital data and now recognizes that an organization’s level of maturity in dealing with information and knowledge management can be measured objectively, used as a benchmark to compare with other similar organizations, and provide a proactive plan for increasing performance and profitability. A Data Management Maturity Model (DMMM ) has been proposed as a method of establishing this comparison (D’Angelo and Troy, 2000). The model analyzes organizations as they move from a base level to a fully optimized structure in which data, information, and knowledge add value at all stages in a life of field project cycle. Operations are categorized by analyzing processes, technology, consistency of results, and ability to quantify value.

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/content/papers/10.3997/2214-4609-pdb.259.19
2004-12-15
2024-04-26
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