Few oil and gas companies give data science projects the better part of a decade to prove out, but that’s just what this one did.
This paper introduces a method using a Bayesian network to aggregate trends detected in time-series data with events identified by natural language processing to improve the accuracy and robustness of kick and lost-circulation detection.
Intellicess is happy to announce the release of Sentinel RT Lite, a free version of our plug and play A.I. drilling advisory software. Sentinel RT Lite includes a state of the art real-time rig state back-end engine, that you can integrate into your system and workflows, free of charge. Get in touch with us if…
Sophisticated drilling-analysis software can help drillers set and modify weight on bit (WOB), rev/min, and other drilling parameters, but achieving acceptance of these software-based recommendations by a driller is complicated. Additionally, acceptance of changes to drilling techniques and modified work flows by a driller on one test rig is insufficient. The challenge is to scale…
Significant progress has been made on physics-based torque-and-drag (T&D) models that can run either offline or in real time. Despite its numerous benefits, real-time T&D analysis is not prevalent because it requires merging real-time and contextual data of dissimilar frequency and quality, along with repeated calibration, the results of which are not easily accessible to…
In recent years, detection and alerting systems have been applied to numerous drilling failures, including stuck pipe, fluid influx/loss, and drilling dysfunctions. But the detection of drillstring washout and mud pump failure has been left primarily to traditional methods that rely solely on standpipe pressure and pump rates or on measurement-while-drilling (MWD) sensor data. Drillers…
Armed with an abundance of surface and downhole sensors, today’s operators have access to unprecedented volumes of real-time drilling data. However, because they haven’t had the tools to quickly and accurately interpret it, the industry has yet to fully capitalize on this flood of information. The Intellicess Sentinel RT solution answers this challenge by cleansing…
This paper proposes a metric for quantifying drilling efficiency and drilling optimization that is computed by use of a Bayesian network. The network combines the identification of drilling dysfunctions (i.e., vibrational modes), autodriller dysfunctions, and mechanical-specific-energy (MSE) tracking into a single, normalized quantity that the driller can use to help decide which control parameters to…
Today, the effectiveness of real-time adjustments to drilling parameters may be hindered by uncertain surface and downhole measurements and the inability of humans to aggregate multiple streams of data in real-time. A recently introduced drilling optimization system addresses these issues by incorporating a Bayesian network into operators’ drilling rig data aggregation systems. This Bayesian network-enhanced…