Baker Hughes Oilfield Operations LLC

Hayley Stephenson

Robert Klenner

Guoxiang Liu

Alireza Shahkarami

Mahendra L Joshi

Naresh Sundaram Iyer

Glen Murrell

Nurali Virani

Dewey Lavonne Parkey, Jr

Atul Kshirsagar

Thomas Nguyen

Tushar Patil

Colin Cranfield

Glenn Richard Murrell

Ghazal Izadi

A method is provided for monitoring the occurrence of pressure anomalies due to FDI in near real time during a hydraulic fracturing operation carried out on an active well that is located near one or more passive monitoring wells. The method includes the steps of obtaining raw pressure sensor data from the one or more passive monitoring wells, processing the pressure sensor data with the FDI analysis module, and determining if the rate of change for averaged pressure sensor data exceeds a preset threshold value that indicates the likelihood of a pressure anomaly. The methods can be configured to autonomously alert an operator of the likelihood of a pressure anomaly and with guidance on resolving the anomalies.

Real time monitoring of fracture driven interference

A method is provided for controlling the operation of an offset well located near an active well that is undergoing a hydraulic fracturing operation that may produce a fracture driven interference (FDI) event to the offset well. The method includes providing an FDI intervention system that includes a computer-implemented predictive model for determining a risk of the FDI event occurring during the hydraulic fracturing operation, calculating a risk-weighted FDI event cost of the FDI event impacting production from the offset well, and calculating a defensive intervention implementation cost to apply a defensive intervention on the offset well to mitigate harm from an FDI event. The method includes calculating a cost comparison based on a comparison of the defensive intervention implementation cost and the risk-weighted FDI event cost. The method concludes with automatically controlling the operation of the offset well with the FDI intervention system based on the cost comparison.

Automatic well control based on detection of fracture driven interference

A method for determining a location and trajectory for a new wellbore relative to an adjacent wellbore includes: receiving controllable variable data and uncontrollable variable data related to fracturing a formation by a stimulation operation in a first wellbore penetrating the formation; receiving pressure communication event or pressure non-communication event identification data related to identification of a pressure communication event or pressure non-communication event in a second wellbore penetrating the formation in response to the fracturing; extracting features from the controllable and uncontrollable variable data to provide extracted features; detecting a pressure communication event using the extracted features and the pressure communication event or pressure non-communication event identification data using an analytic technique; identifying one or more quantified causes of the detected pressure communication event using an artificial intelligence technique; and determining the location and trajectory of the new wellbore using the one or more quantified causes.

Process for infill well development in a subsurface reservoir

A method for generating a well completion plan includes: evaluating a plurality of different well completion plans using a reservoir simulator to calculate dynamic flows of fluid through a subsurface formation, each well completion plan having a flow control device with location and associated flow setting or rating, and optionally a packer and location to provide output data for each well completion plan evaluation; developing a surrogate reservoir model using the output data and input data for each well completion plan evaluation; using intelligent sequential sampling of the output and input data for each well completion plan evaluation to provide intelligent sequential sampling data in response to the surrogate reservoir model not meeting a validation criterion; updating the surrogate reservoir model using the intelligent sequential sampling data; and iterating the using and the updating using a latest surrogate reservoir model until the latest surrogate reservoir model meets the validation criterion.

Intelligent optimization of flow control devices

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Edmond, OK, United States of America

Hayley Stephenson