Landmark Graphics Corporation

Rishi Adari

Robello Samuel

Adolfo Gonzales

Manish Kumar Mittal

Samuel Robello

Nanda Kumar Nookala

The disclosure presents processes and methods for determining a packoff event at a location in a borehole undergoing a drilling operation. The packoff event can be represented by a packoff risk indicator (PRI) that presents, for example, a percentage risk of the packoff event occurring. The PRI can be utilized to initiate a remediation operation prior to the packoff event becoming more severe, such as a stuck drill string. In some aspects, the generation of the PRI can utilize an uncertainty model to provide a range of input parameters and an uncertainty parameter used by other systems to evaluate the risk of the potential packoff event has on borehole operations. In some aspects, the generation of the PRI can utilize machine learning algorithms or deep neural network algorithms to pre-process the input parameters to improve the accuracy of the PRI and of the models used to generate the PRI.

Predicting a drill string packoff event

The disclosed embodiments include well operation evaluation systems and methods to analyze a broomstick chart of a well operation. The method includes receiving data indicative of a broomstick chart of a well operation. The method also includes diagnosing an issue during the well operation based on the broomstick chart. The method further includes predicting an impact on the well operation as a result of the issue. The method further includes determining a likelihood of occurrence of the impact. The method further includes determining a solution to overcome the issue.

Well operation evaluation systems and methods to analyze a broomstick chart of a well operation

This disclosure relates to systems and methods for controlling a motor based on a slide-rotate ratio while drilling a wellbore. The system includes at least one sensor disposable with respect to a drillstring and a motor communicatively coupled to the drillstring. A computing device performs operations for controlling the motor based on the slide-rotate ratio. The computing receives input data corresponding to characteristics of the drillstring, the motor, or both. The computing device calculates a hook load for multiple time intervals. The computing device determines a friction factor based on the hook load for each of the time intervals. The computing device projects a slide-rotate ratio for the motor that substantially minimizes friction while operating the drill string, and controls the motor based on the slide-rotate ratio.

Slide and rotation projection for reducing friction while drilling

The disclosure presents solutions for determining a casing wear parameter. Image collecting or capturing devices can be used to capture visual frames of a section of drilling pipe during a trip out operation. The visual frames can be oriented to how the drilling pipe was oriented within the borehole during a drilling operation. The visual frames can be analyzed for wear, e.g., surface changes, of the drilling pipe. The surface changes can be classified as to the type, depth, volume, length, shape, and other characteristics. The section of drilling pipe can be correlated to a depth range where the drilling pipe was located during drilling operations. The surface changes, with the depth range, can be correlated to an estimated casing wear to generate the casing wear parameter. An analysis of multiple sections of drilling pipe can be used to improve the locating of sections of casing where wear is likely.

Casing wear and pipe defect determination using digital images

A system can provide for determining characteristics loss in a wellbore. The system can include a processor and a non-transitory memory with instructions that are executable by the processor for causing the processor to execute operations. The operations can include receiving, from sensors in a wellbore, data corresponding to loss indicators. The operations can include determining a loss probability for each loss indicator. The operations can include determining a total loss probability of fluid loss in the wellbore based on the loss probabilities. The operations can include outputting the total loss probability to be used in a drilling operation in the wellbore.

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Katy, TX, United States of America

Rishi Adari