A New Approach to O&G Operations
Operations daily production work uses lagging indicators, and scheduled work is an afterthought. There are no solutions that connect scheduled work with production issues.
Daily production work uses lagging oil & gas allocations vs. a target or the manual review of SCADA trends/alarms. Therefore, operations will not see well performance degradation until days/weeks later in the oil & gas volumes. Thus, work weighs heavily towards run to failure rather than proactive.
Scheduled work uses spreadsheets that combine user knowledge, application outputs, and word-of-mouth interactions. Scheduled work is disruptive to operations when separate from the daily production workflow. Despite this, the industry has separated the two key work categories of operations into different workflows and applications.
A New Approach
Daily production work should be identified using inputs rather than lagging outputs like oil and gas allocations. Performance changes created from leading indicators, like high-frequency SCADA, should be the origin of production work.
Scheduled work thoughtfully fits with daily production by existing in the same system. Whether scheduled work or daily production work, the end-user should only see a single output- “work.”
Daily production work built upon a learning anomaly detection model with user feedback is the answer for all daily production work to be identified without lagging downstream outputs and manual reviews. Not only that, anomaly detection with categorization (Ex: meter drift → measurement team) leads to intelligent user assignments.
Create & complete scheduled work within the same workflow as daily production work; it doesn’t matter if it’s a well test, workover, or preventative maintenance. If it has a recurrence or a date to complete, you can create and action it within Tasq.
Effectiveness for both scheduled work and daily production work happens when the user is knowledgeable about the problem at hand. Tasq equips operations with EOP’s (effective operating procedures) specific to the type of work. These EOP’s are “effective” because issue-specific learnings are stored and iterated.
The graphic below shows all work sources in a “day in the life of operations.” Unfortunately, daily operations work and scheduled work do not work well together because not a single operations solution in the market has a team that has lived through the challenges. At Tasq, we have all personally lived through the challenges and are here to help solve operational pains. Tasq has thoughtfully positioned our work platform to meet operations demands for daily production work and scheduled work.