Data-Driven Solution for Downtime Identification in Unconventional Oil/Gas Reservoirs

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In hardware intensive operations such as completion operations in the shale oil and gas industry in Canada,**operational sites are remote and the responsibilities for various parts of the operation are split between multiple**vendors. Due to this complexity, these operations are far from being optimized and often lose money due to**Non-Productive Time (NPT), unexpected operational failures, and safety-related incidents (or near misses). As**commodity prices drop, it becomes necessary to reduce operating and capital expenses, which may be achieved**through process optimization.**The industry has repeatedly expressed the requirement for a real-time monitoring and optimization system.**However, monitoring operations remotely with expensive sensors, such as thermal imaging cameras and video**analytics, has proven to be too costly, and provides capabilities in excess of requirements. HAWK-EYE serves**as that inexpensive software system that monitors pad operations using pressure transducers and valve position**sensors that can be used to determine the extent of NPT, operational failure potential, and safety incidents in a**pre-emptive manner, in turn, providing customers with a cost-effective solution for process optimization. Baker**Hughes, a GE company (BHGE), a leading oil and gas equipment manufacturer and oilfield services and digital**solutions provider, is looking for such an optimization-based solution to reduce costs in unconventional**hydrocarbon extraction.**Presently the sensor data, pressure measurements valve positions and associated frack-related events, are sent**to consultants after the fracking operation, in order to to quantify the NPT. The proposed research project will**develop an automatic data-driven method for robustly estimating the status of a well in real-time, based on the**available sensor data, hence providing real-time monitoring of the well status.