The Next Generation Petroleum Production Technology; Early Predictive Well Health (WH) Meta Monitoring Tool (ARTAM-WH)

摘要

Maintaining stable operations with high recovery requires routine checking of individual Well Health (WH). A well performing as expected is healthy. It is essential for efficient field operation to detect WH issues early that may reduce overall recovery. An early predictive and WH meta-monitoring tool is highly desirable. Our new approach is designed to provide early identification of existing or developing WH issues - precursors to WH problems if not addressed. ARTAM-WH utilizes in-situ monitoring systems coupled with static data, conducts preliminary analysis and proper cross checking and then notifies engineers/operators. Differentiating this approach is that it is not looking at small data sets but a large palate including both static (the well construct) and dynamic, current performance versus performance expectations. ARTAM-WH provides supporting evidence of WH Issue to the appropriate stakeholder. Notification includes the necessary and sufficient evidence derived from approximate reasoning algorithms combining multiple variables to identify possible issues and testing the WH hypotheses. ARTAM-WH aims to provide early warning signals, including substantiating evidence, to engineers/operators managing large volumes of data generated within monitoring systems; lowering operating costs and expediting the decisionmaking processes. Reducing time to action; improving operational effectiveness; increasing production due to reductions in unexpected downtime and previous lost profit opportunities being captured. This new approach frees up engineers/operators time to focus on higher priority activities such as developing solutions. Early identification of emerging problems also allows for the ability to handle those problems through normal planning rather than emergency fixes.