Baker Hughes Oilfield Operations LLC

General Electric Company

Ge Inspection Technologies, Gmbh

Guoxiang Liu

Naresh Sundaram Iyer

Robert Klenner

Hayley Stephenson

Mahendra L Joshi

Steven Hector Azzaro

Glen Murrell

Alireza Shahkarami

Nurali Virani

Dewey Lavonne Parkey, Jr

Robert Carl Lloyd Klenner

Atul Kshirsagar

Thomas Nguyen

Tushar Patil

Glenn Richard Murrell

Colin Cranfield

Eric Robertson

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 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

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

A system includes a schedule generator having one or more processors configured to obtain resource extraction parameters for extracting a resource from a reservoir. The resource extraction parameters include well creation parameters associated with drilling wellbores, well stimulation parameters associated with introducing fracturing fluid into the wellbores, and production parameters associated with extracting the resource through the wellbores. The schedule generator selects initial trial schedules having different values of the resource extraction parameters and receives initial resource output data generated by execution of the initial trial schedules with a designated reservoir model. The schedule generator generates a surrogate model based on the initial resource output data and the initial trial schedules and uses the surrogate model to perform iterations of selecting modified trial schedules until a predetermined condition is satisfied.

System and method for generating a schedule to extract a resource from a reservoir

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Edmond, OK, United States of America

Guoxiang Liu