Abstract:
Various embodiments include apparatus and methods to provide an estimation of casing wear. One method determines values of casing and drill string variables and constants. These constants and variables are used to dynamically generate an estimate of casing wear, based on a stress theory. The drilling operation can be halted when the estimate of casing wear reaches a predetermined value.
Abstract:
Tubular wear volume is determined using adjustable wear factors. The wear factors are applied as a function of the side force factor, friction factor, and/or temperature factor. The adjusted wear factors are then used to determine the tubular wear volume.
Abstract:
A system provides thermal and stress analysis of complex well operations above the end of the downhole string to meet the analysis needs of downhole operations such as hydraulic fracturing in unconventional oil and gas field development.
Abstract:
An illustrative method for estimating casing wear, including estimating, as a function of position along a casing string, a side force of a tubular string against the casing string, wherein said estimating accounts for a bending stiffness of the tubular string. The method further including determining, based at least in part on the side force, a casing string wear volume as a function of position along the casing string, and presenting the casing string wear volume to a user.
Abstract:
System and methods for monitoring casing wear for a well during a drilling operation are provided. Casing design parameters for a planned well are determined during a planning phase of the drilling operation. A wear factor along a length of the planned well is computed based on the casing design parameters. A casing wear map is generated based on the computed wear factor along the length of the planned well relative to one or more of the casing design parameters. The generated casing wear map is visualized via a display of a computing device. The visualized casing wear map enables a user of the computing device to estimate casing wear for the planned well and determine an appropriate casing to design for the planned well based on the estimated casing wear.
Abstract:
Drilling system and methods may employ a weight-on-bit optimization for an existing drilling mode and, upon transitioning to a different drilling mode, determine an initial weight-on-bit within a range derived from: a sinusoidal buckling ratio, a helical buckling ratio, and the weight-on-bit value for the prior drilling mode. The sinusoidal buckling ratio is the ratio of a minimum weight-on-bit to induce sinusoidal buckling in a sliding mode to a minimum weight-on-bit to induce sinusoidal buckling in a rotating mode, and the helical buckling ratio is the ratio of a minimum weight-on-bit to induce helical buckling in the sliding mode to a minimum weight-on-bit to induce helical buckling in the rotating mode. The ratios are a function of the length of the drill string and hence vary with the position of the drill bit along the borehole.
Abstract:
The disclosed embodiments include a method, apparatus, and computer program product for determining a suitable casing design for a well. For example, one disclosed embodiment includes a system that includes at least one processor and at least one memory coupled to the at least one processor and storing instructions that when executed by the at least one processor performs operations for receiving historical data associated with previously drilled wells; in response to a determination that the historical data associated with previously drilled well is relevant to the well, generating a first set of casing designs using a probabilistic approach and generating a second set of casing designs using a combination approach that combines the probabilistic approach with a deterministic approach; and selecting a suitable casing design from a resulting set of casing designs.
Abstract:
A plurality of input data to be used to compute a first output is received. The first output is computed. It is determined that the computed first output is outside a pre-determined first-output limit. A plurality of hyperlinks is displayed on a display device. Each hyperlink provides a link to a process for making adjustments to the plurality of input data to bring the first output within the pre-determined first-output limit. Selection of one of the plurality of hyperlinks (the “selected hyperlink”) is detected. A process associated with the selected hyperlink is followed to produce an adjustment to the plurality of input data to bring the first output within the first pre-determined first-output limit. The adjusted plurality of input data is used to plan implementation of a system. The sequence of selection of hyperlinks is tracked in order to reinforce the prioritization and order of future suggestions. The system is implemented.
Abstract:
Processes to receive user input parameters and system input parameters associated with a borehole undergoing active drilling operations to continually update drilling directions with wholistically applied optimizations to bring the actual borehole trajectory closer to the planned borehole trajectory. The processes can project ahead of the drilling assembly to determine the actual trajectory of the borehole and generate corrections to reduce the gap between the actual and planned trajectory paths. Various optimizations can be applied to the corrections to avoid overstressing systems or reducing the borehole productivity. Conflicts between optimizations can be resolved using a weighting or ranking system. More than one set of corrections can be determined and a user or a machine learning system can be used to select the one set of corrections to use as the results to be communicated and applied to the drilling operation plan or a borehole system, such as a geo-steering system.
Abstract:
A system can receive data relating to a tubular of a well system. The system can execute a first module to determine first outputs. The system can execute a second module to determine second outputs based on the first outputs. The system can execute a third module to determine third outputs based on the first outputs. The second outputs can include a crack-initiation fracture pressure, and the third outputs can include a crack-propagation fracture pressure. The system can identify a brittle-burst strength of the tubular from among the second outputs, the third outputs, and a standard burst strength of the tubular. The system can provide the brittle-burst strength of the tubular to facilitate an adjustment to the tubular to optimize a wellbore operation associated with the well system.