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:
System and methods for optimizing parameters for drilling operations are provided. A target value of a user-selected operating variable is estimated for each stage of a drilling operation to be performed along a planned well path, based on a first set of wellsite data. Values of one or more drilling parameters are determined for performing each stage of the operation, based on the estimated target value of the operating variable for that stage. The target value of the operating variable is updated based on a second set of wellsite data obtained during a current stage of the operation. The values of the drilling parameters are optimized for subsequent stages of the drilling operation based on the updated target value. The planned path of the well is adjusted for the subsequent stages, based on the optimized drilling parameter values. The subsequent stages are performed along the adjusted path of the well.
Abstract:
A method for determining casing wear of casing in a wellbore, a computer program product for determining a back-calculated casing wear factor (CWF) value for casing in a wellbore, and a well site controller are provided herein. In one embodiment, the well site controller includes: (1) an interface configured to receive actual remaining wall thickness (RWT) values that correspond to a set of casing depth values of a wellbore and (2) a processor configured to determine a back-calculated casing wear factor (CWF) value for the wellbore based on a comparison between the actual RWT value and an estimated RWT value, for the set of casing depth values, where the estimated RWT value is calculated using an estimated CWF value as input.
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 design for the planned well based on the estimated casing wear.
Abstract:
A casing wear estimation method includes obtaining a set of input parameters associated with extending a partially-cased borehole and applying the set of input parameters to a physics-driven model to obtain an estimated casing wear log. The method also includes employing a data-driven model to produce a predicted casing wear log based at least in part on the estimated casing wear log. The method also includes storing or displaying information based on the predicted casing wear log.
Abstract:
Bottom-hole pressure operating envelops for underbalanced drilling take into account the lithologies of the formations being drilled through.
Abstract:
One drilling method embodiment includes: obtaining a set of drilling parameters, possibly from a drilling plan; applying the set of drilling parameters to a physics-based model to obtain an estimated log of a downhole parameter such as temperature; and refining the estimated log using a data-driven model with a set of exogenous parameters. Temperature cycling and cumulative fatigue (or other measures of failure probability or remaining tool life) may be derived to predict tool failures, identify root causes of poor drilling performance, and determine corrective actions.
Abstract:
Bottom-hole pressure operating envelops for underbalanced drilling take into account the lithologies of the formations being drilled through.