Baker Hughes Oilfield Operations LLC

Ge Inspection Technologies, Gmbh

Robert Klenner

Mahendra L Joshi

Glen Murrell

Alireza Shahkarami

Guoxiang Liu

Hayley Stephenson

Naresh Sundaram Iyer

Steven Hector Azzaro

Michael Franklin Hughes

Nurali Virani

Alexey Tyshko

Dewey Lavonne Parkey, Jr

Robert Krumm

Thomas Nguyen

Glenn Richard Murrell

Ghazal Izadi

Mahendra Joshi

Steven Azzaro

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 system and method of generating electricity. A work string extends into a wellbore. A heat pump unit at a surface location circulates a working fluid through the work string to absorb heat from a formation surrounding the wellbore. A turbine generates a rotation from the working fluid that has absorbed the heat. A generator generates electricity from the rotation of the turbine. The electricity is transmitted to the surface location via an electrical cable.

Downhole geothermal power generation and storage

The current subject matter is related to optimizing resource (e.g., steam) allocation within steam assisted gravity drainage (SAGD) system, and predicting future oil production from production wells of the SAGD system. In some embodiments data characterizing a hypothetical rate of steam injection into injection wells of the SAGD system can be applied within a capacitance resistance model (CRM) to determine an estimated rate of future fluid production, the fluid being a mixture of oil and water. An emulsion viscosity, as well as the estimate rate of future fluid production, can be applied within a Koval fractional flow model to determine an estimate rate of future oil production. In some cases, the hypothetical rate of steam injection can be optimized based on an optimization objective, e.g., a steam-to-oil ratio (SOR).

Rapid steam allocation management and optimization for oil sands

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Oklahoma City, OK, United States of America

Robert Klenner