Abstract: Disclosed are systems and methods for predicting a stabilized pressure in a wellbore of a well after an undesired influx of formation fluids, i.e., a kick, into the wellbore in a real-time drilling operation. Following the kick, the well is shut in. Signals representing pressure data associated with the subterranean casing, drill pipe, wellhead, and/or the bottomhole assembly and associated time data are received in a processor. A regression analysis is performed using the pressure data and associated time data in the processor and solved for a predicted stabilized pressure associated with the subterranean casing, the drill pipe, the wellhead, and/or the bottomhole assembly respectively. The regression analysis is performed around a variant of the radial diffusivity equation describing the rate-pressure relationship for flow of a production fluid. The predicted stabilized pressure is communicated to a user.

Abstract: Disclosed are systems and methods for predicting a stabilized pressure in a wellbore of a well after an undesired influx of formation fluids, i.e., a kick, into the wellbore in a real-time drilling operation. Following the kick, the well is shut in. Signals representing pressure data associated with the subterranean casing, drill pipe, wellhead, and/or the bottomhole assembly and associated time data are received in a processor. A regression analysis is performed using the pressure data and associated time data in the processor and solved for a predicted stabilized pressure associated with the subterranean casing, the drill pipe, the wellhead, and/or the bottomhole assembly respectively. The regression analysis is performed around a variant of the radial diffusivity equation describing the rate-pressure relationship for flow of a production fluid. The predicted stabilized pressure is communicated to a user.

Abstract: A system and method acquire raw data from drilling equipment that includes at least two drilling related parameters measured in real time during a drilling operation by a drilling rig and conditioning the raw data by removing outlier data values and/or filtering out noise. The conditioned data is processed to generate output values and generating an alarm based on the output values to indicate an abnormal drilling condition. Processing the conditioned data includes determining incremental changes in data values and whether the incremental changes are an increase, decrease or no change for each of the at least two drilling related parameters. The incremental changes are summed over a user-defined time period for each of the at least two drilling related parameters and compared to a threshold for the user-defined time period for each of the at least two drilling related parameters.

Abstract: A system and method acquire raw data from drilling equipment that includes at least two drilling related parameters measured in real time during a drilling operation by a drilling rig and conditioning the raw data by removing outlier data values and/or filtering out noise. The conditioned data is processed to generate output values and generating an alarm based on the output values to indicate an abnormal drilling condition. Processing the conditioned data includes determining incremental changes in data values and whether the incremental changes are an increase, decrease or no change for each of the at least two drilling related parameters. The incremental changes are summed over a user-defined time period for each of the at least two drilling related parameters and compared to a threshold for the user-defined time period for each of the at least two drilling related parameters.

Abstract: A method of monitoring drilling conditions includes acquiring raw data from drilling equipment and conditioning the raw data to generate conditioned data. Conditioning the raw data includes removing outlier data values and/or filtering out noise. The method further includes processing the conditioned data to generate output values. Processing the conditioned data includes determining a slope of a first set of data values of the conditioned data. The first set of data values correspond to a regression length of time. Processing the conditioned data further includes determining whether a difference between the slope of the first set of data values and a median slope determined over a median window of time exceeds a threshold. The method also includes generating an alarm based on the output values to indicate an abnormal drilling condition.

Abstract: A method of monitoring drilling conditions includes acquiring raw data from drilling equipment and conditioning the raw data to generate conditioned data. Conditioning the raw data includes removing outlier data values and/or filtering out noise. The method further includes processing the conditioned data to generate output values. Processing the conditioned data includes determining a slope of a first set of data values of the conditioned data. The first set of data values correspond to a regression length of time. Processing the conditioned data further includes determining whether a difference between the slope of the first set of data values and a median slope determined over a median window of time exceeds a threshold. The method also includes generating an alarm based on the output values to indicate an abnormal drilling condition.