Our founder and CEO Troy Ruths (second from the left) recently presented at the 10th Annual MicroSeismic User Forum about a future moving towards the robust design of shale wells by merging seismic, geologic, and engineering data to predict completion performance.
“The optimum solution does not always account for all the uncertainties that actually exist out in the field,” observed Troy, “and chances are very likely that the optimal solution gets missed, leading to a less desirable result, especially when drilling lots of wells. Repeatability becomes an issue.”
Because of this, deploying robust solutions leads to improved predictability and higher ROI. Here at Ruths.ai, we’ve integrated MicroSeismic data types into our Analytics Delivery Engine, connecting them to other rich data types, multi-variate modeling and prediction, and blending MSI with private/public data in our clients’ own environment.
These seismic attributes merged with other data can enrich the model to predict the most robust solutions for well landing. When asked about the future of AI in the field, a large operator working in the Permian Basin agreed that AI is the future, but “still a work in progress with lots of work to go.” However, they want to start using AI for gas lift because “it will become the tool to manage all data.”