The oil & gas industry is catching up to automation of traditional workflows practiced in the industry and implementation of artificial intelligence to fasten repetitive tasks. This is driven by the need to automate low-cognitive tasks enabling engineers to spend more time on high-cognitive components of the existing workflows, thus leading up to smarter decisions. This has been made possible by the recent developments and adoption of various analytics and machine learning tools.

Well intervention and workover are a routine and important exercise undertaken in the oil and gas industry where the objective is to identify the sick wells and diagnose the right intervention and workover to improve the production. A typical well intervention and workover candidates study includes:

  1. Identifying the underperforming wells,

  2. Diagnosing these wells and identifying the right workover/ intervention opportunities

  3. Creating a ranking of the opportunities using a standard approach.

  4. Forecasting the gain after workover/intervention

  5. Running economic analysis to identify the candidate based on opportunity's profitability

Ujung Pangkah Oil and Gas Field is an offshore field located in Indonesia. The reservoir is a multi-layered carbonate oil and gas reservoir, being produced mostly through horizontal wells. An intelligent solution termed as SWORDS was developed for the Ujung Pangkah field that enables the engineers to be permanently aware of the intervention and workover opportunities. The SWORDS solution is driven by 'Automation & Analytics', where the ranking of the opportunities has been driven by a multi-criteria decision making process leveraging the Petroleum Engineering techniques practiced over decades.

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