Schlumberger Technology Corporation

Massachusetts Institute of Technology

Cameron International Corporation

Services Petroliers Schlumberger

Tianxiang Su

Muhannad Abuhaikal

Vassilis Varveropoulos

Christopher Bogath

Sepand Ossia

Nathan Wicks

Alan Davis

James Miller

Pedro Reis

Sebastien Mannai

Chris Bogath

Suraj Kiran Raman

Zhandos Ombayev

Choon Sooi Tan

Matthew Bronars

A method of controlling operation of equipment that spools cable on and off a rotatable drum, in one or more embodiments, includes obtaining video data of a position of the cable on the rotatable drum. The method can also include feeding data into a trained artificial neural network and processing the data fed into the trained artificial neural network to determine at least one of a calculated position of the cable on the rotatable drum, a calculated fleet angle, or both. The method can also include actuating the rotatable drum to one of spool cable on and off the rotatable drum.

Methods and systems for controlling operation of wireline cable spooling equipment

Systems and methods are disclosed herein for identifying cable damage using machine vision, such as on a cable being fed down a wellbore from a cable spool in an oil and gas operation. An example method can include providing a camera directed toward a cable that is winding upon, or unwinding from, a cable spool. The method can also include capturing a plurality of frames of images of the cable by the camera, such as by capturing video. The captured frames can be cropped to remove portions of the frames that do not include the cable. The method can further include processing the cropped frames using a machine-learning model. The machine-learning model can be trained using images of known cable damage as inputs so it can identify new instances of damage. The machine-learning model can further classify each cropped frame as including damage or not including damage.

Cable damage detection by machine vision

A wellhead alignment system includes a visual marker configured to be placed at a wellhead and a camera configured to capture an image that includes the visual marker. The wellhead alignment system also includes one or more processors configured to apply computer vision algorithms to identify the visual marker in the image and to calculate an offset between the wellhead and a drilling rig based on a position of the visual marker in the image.

Wellhead alignment systems and methods

A system and method that is configured to automatically control a spooling of a drum of a deployment unit used in hydrocarbon recovery operations. The method may comprise obtaining data related to a sensor and measurements system connected to the deployment unit. Processing the data obtained by the sensor and measurements system in a processing unit that makes a stochastic inference. Controlling an auto spooling of the drum of the deployment unit through an auto-spooling controller connected to the deployment unit based upon the stochastic inference.

Automated spooling control system using stochastic inference

A method of controlling operation of equipment that spools an elongated member on and off a rotatable drum, in one or more embodiments, includes obtaining video data of a position of the elongated member on the rotatable drum. The method can also include feeding data into a trained artificial neural network and processing the data fed into the trained artificial neural network to determine at least one of a calculated position of the elongated member on the rotatable drum, a calculated fleet angle, or both. The method can also include actuating the rotatable drum to one of spool elongated member on and off the rotatable drum.

Methods and systems for controlling operation of elongated member spooling equipment

Providing diagnostics or monitoring operation of a rod pressure includes using waves in production fluid produced by the rod pump may be used to determine one or more operating states of the rod pump. The one or more operating states of the rod pump may be used by a user to diagnose or monitor the operation of the rod pump.

Rod pump system diagnostics and analysis

A method for extending reach of a coiled tubing string in a deviated wellbore includes vibrating the tubing string while the tubing string is injected into the wellbore at a first injection speed, finding the peak speed of lateral vibration of the tubing string, determining a second injection speed as a function of the obtained peak speed of lateral vibration, and adjusting the injection speed of the vibrating tubing string from the first injection speed to the determined second injection speed based on said function. A non-transitory computer-readable storage medium to execute the foregoing method is provided, along with a system for extending reach of a coiled tubing string in a deviated wellbore.

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Somerville, MA, United States of America

Tianxiang Su