I had the opportunity to lead the implementation of an augmented reality project for US onshore O&G operations. There were 3 business goals for this project: Goal #1: Increase efficiency (jobs per day) Goal #2: Improve action effectiveness (did the action make the well reliable & on target) Goal #3…

It’s time to get real: AI and ML are overused buzzwords. Ever heard of an incredible black box AI engine supported by ML applied to rich data leading to enhanced decision making that will save you time & make you money? Umm … 🤮 Let’s move on from that. For…

The Pro: Digital field data capture is an improvement. Transitioning from grease books to digital field data capture (FDC) provides visibility into daily work. The transparency generates insights, field aggregations and informs decisions. As a result, field data capture has changed the data availability game in oil and gas operations. The Con: We don’t use it effectively. However, the technology has now reached a tipping point…

The Problem Daily operations is driven primarily by production deferment. Unfortunately, this methodology encourages fire fighting, workarounds, and permanently poor data utilization. Deferment in Operations Doesn't have to Be Shitty Problem #1 Deferment false positives and true negatives persist in operations without timely feedback, leading to distrust and workarounds. Solution: Connect the models & production target owners with the operators. Embedding a…

The Problem Operations daily production work uses lagging indicators, and scheduled work is an afterthought. There are no solutions that connect scheduled work with production issues. Current State 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…