WLDM (WELL LOG DATA MANAGEMENT) STANDARD WELL LOG DATA MANAGEMENT PROCESS AND TOOL TO IMPROVE RESERVOIR MANAGEMENT WORK

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

WLDM (WELL LOG DATA MANAGEMENT)
STANDARD WELL LOG DATA MANAGEMENT PROCESS AND TOOL TO IMPROVE RESERVOIR MANAGEMENT WORK

Elsie Desianty^', Tom Zalan^', Bruce Biodeau^', & Rudi Arief^'
'PT Chevron Pacific Indonesia, Sumatra, Indonesia
ABSTRACT

Digital archival databases are evolving to become perhaps the only source for well data. It is imperative that sustainable processes be put in place that will improve the content, quality, and reliability of the digital databases.

CPI has developed a Well Log Data Management (WLDM) process to document, capture, and retain well data. A critical part of this data management process is to provide user access to the data through web- based tools, providing logging request data tracking. The idea is that if the users rely on the digital database as their primary source for well data, then they will make the effort to improve the content and reliability of the database, which has been neglected up until now.

A cross-functional team (IT, Formation Evaluation, Operation Data Management, Asset Management Team, and WellWork) was formed to develop the process, build and test the tools. The process starts with a user requesting a logging job and goes through loading the well log data into CPI’s Well Master Data Repository. Users can track a logging job, service ticket, logging deliverables; assess data quality, track log data, and invoice through one window.

In addition to improving data longevity and accessibility, the WLDM process also ensures compliance with MIGAS regulations for data management. Data obtained from general survey and exploration/exploitation belongs to the government of Indonesia and it must be managed and utilized appropriately.

Well Log Data Management process is very important to support operating unit well data business. Faster and more convenient data availability will provide more accurate data for the user and asset teams to make decisions to increase production and better assess opportunities to meet CPI business objectives.