Halliburton Energy Services, Inc.

Saad Saeed

James Randolph Lovorn

Nancy Suzan Davis

Charles Michael Pool

Emad Bakri

Frank Urias

Daniel David Gleitman

Aaron Ronald Reynolds

Craig William Godfrey

David Crawshay

Cody Neal Butler

Ryan Hourd

Charles M Pool

Isabel Cristina Poletzky

Florin Anghelescu

Kristy Bell

Craig W Godfrey

James R Lovorn

The subject matter of this specification can be embodied in, among other things, a wearable computer device positionable on a human body. The wearable computer device is configured to receive sensor information from a collection of sensors that includes a first sensor and a second sensor, the first sensor attached to the human wearable device and the second sensor connected to the human wearable device, the sensor information describing operational attributes of the oil and gas drilling or production operations that either implements a hydrocarbon recovery process or a hydrocarbon recovery machine at a time of obtaining the sensor information, identify baseline sensor information describing operational attributes during normal operation of either the hydrocarbon recovery process or the hydrocarbon recovery machine, compare the sensor information and the baseline sensor information, and provide a notification indicating an operational condition of the oil and gas drilling or production operation.

Monitoring hydrocarbon recovery operations using wearable computer machines

Various managed pressure drilling tools, systems, and methods are disclosed. An example method includes obtaining a model-based pressure prediction and sensor-based pressure measurements during borehole drilling operations. The method also includes determining a real-time learning calculation using the model-based pressure prediction and at least some of the sensor-based pressure measurements. The method also includes updating a formation pressure model based at least in part on the real-time learning calculation. The method also includes controlling annular pressure for the borehole drilling operations based on a pressure predicted by the updated formation pressure model.

Borehole pressure management methods and systems with adaptive learning

A drilling method includes assigning values to behaviors of drilling parameters during a drilling operation; forming multiple parameter signatures, each of the parameter signatures comprising a respective combination of the values; comparing the parameter signatures to multiple event signatures, each of the event signatures being indicative of a respective drilling event; and controlling the drilling operation in response to at least a partial match resulting from comparing the parameter signatures to the event signatures. Another method includes defining an event signature comprising a unique combination of a behavior of each of multiple drilling parameters, the event signature being indicative of a drilling event; accessing data from each of multiple sensors which sense the respective drilling parameters during a drilling operation; determining multiple parameter signature segments from the respective sensed drilling parameters; combining the parameter signature segments, thereby forming a parameter signature; and comparing the parameter signature to the event signature.

Well drilling methods with event detection

A well drilling method can include detecting a drilling event by comparing a parameter signature generated during drilling to an event signature indicative of the drilling event, and automatically controlling a drilling operation in response to at least a partial match resulting from comparing the parameter signature to the event signature. A well drilling system can include a control system which compares a parameter signature for a drilling operation to an event signature indicative of a drilling event, and a controller which controls the drilling operation automatically in response to the drilling event being indicated by at least a partial match between the parameter signature and the event signature.

Well drilling methods with automated response to event detection

A method of controlling pressure in a wellbore can include determining a real time wellbore pressure Pwbat a pressure sensor in the wellbore, calculating hydrostatic pressure Phat the pressure sensor, determining a real time annulus pressure Pa, calculating friction pressure Pf due at least to circulation of the fluid through the wellbore and depth in the wellbore, calculating a friction pressure correction factor CFequal to (Pwb&#x2212;Ph&#x2212;Pa)/Pf, and controlling operation of a pressure control device, based on the friction pressure correction factor CF. The method can further include determining a desired wellbore pressure Pwbat the pressure sensor, calculating an annulus pressure setpoint Paequal to Pwb&#x2212;Ph&#x2212;(Pf*CF, and adjusting the pressure control device as needed to maintain Paequal to Pa.

Annulus pressure setpoint correction using real time pressure while drilling measurements

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Houston, TX, United States of America

Saad Saeed