AUTO DATA TRANSFER: ENABLING E&P BUSINESS BY INCREASING DATA AVAILABILITY THROUGH STANDARD DATA PROCESS AND FLOW

PROCEEDINGS PIT IAGI RIAU 2006
The 35^th IAGI Annual Convention and Exhibition
Pekanbaru – Riau, 21 – 22 November 2006

AUTO DATA TRANSFER: ENABLING E&P BUSINESS BY INCREASING DATA AVAILABILITY THROUGH STANDARD DATA PROCESS AND FLOW

Setiabudi, Triatmojo R.^' , Ismayadi, Budhi.^' , & Roza, Ellinda.^'
1Data Management, Information Technology, Technology Support, PT. Chevron Pacific Indonesia
ABSTRACT

An effort was made to seek data management solution adopted for supporting E&P business process in PT. Chevron Pacific Indonesia, Central Sumatra, Indonesia. Managing a huge dataset involving approximately 11000 wells with all subset related data, which reside on multiple applications and databases, requires comprehensive approaches on data management methods & technology. Separate databases that are connected to multiple applications may result in problem on data availability issue, and become a common problem for big oil companies. Most of applications and databases in Exploration and Production (E&P) business do not have direct interaction due to vendor proprietary. Mean time Geoscientists need data available in timely fashion for their collaborative work so that they could use E&P data to produce fast and accurate decisions. Multifunction team effort was conducted to answer the above problems with applying data management concept on current E&P applications technology. Solutions are built in the form of analysis and development of common standard data flow and process, naming standardization, and automatic data transfer tool to consolidate data into corporate database and E&P applications. Data management methods being addressed include how to build standard data management process, validate data, consolidate, and monitor process. IT data management solutions were implemented using current available data manipulation technology of native applications, PL/SQL, and AWK UNIX script. Implementation strategy was based on ideas to combine IT tools and applied data management & technology, and standard workflow procedures. The final results of this effort cover data management solutions that include recommendations, processes, and tools.