Patent classifications
E21B45/00
METHOD AND SYSTEM FOR FORMATION PORE PRESSURE PREDICTION WITH AUTOMATIC PARAMETER REDUCTION
A method for formation pore pressure prediction involves obtaining an input parameter set while drilling a well. The input parameter set includes surface drilling parameters, logging while drilling parameters, and advanced mud gas measurements. The method further involves generating, from the input parameter set, a reduced input parameter set, by eliminating at least one input parameter of the input parameter set that is considered non-relevant for predicting the pore pressure, and predicting the pore pressure by applying a machine learning model to the reduced input parameter set.
METHOD AND SYSTEM FOR FORMATION PORE PRESSURE PREDICTION WITH AUTOMATIC PARAMETER REDUCTION
A method for formation pore pressure prediction involves obtaining an input parameter set while drilling a well. The input parameter set includes surface drilling parameters, logging while drilling parameters, and advanced mud gas measurements. The method further involves generating, from the input parameter set, a reduced input parameter set, by eliminating at least one input parameter of the input parameter set that is considered non-relevant for predicting the pore pressure, and predicting the pore pressure by applying a machine learning model to the reduced input parameter set.
Methods and systems for performing automated drilling of a wellbore
There are described methods, systems, and techniques for performing automated drilling of a well bore. The well bore is drilled according to one or more drilling parameter targets associated with one or more corresponding drilling parameters. A controlling drilling parameter of the one or more drilling parameters is determined to be outside a threshold window. In response to determining that a stringer has been encountered, one or more controlled drilling parameter targets of the one or more drilling parameter targets are updated. The controlled drilling parameter targets comprise a revolutions per minute (RPM) target and weight-on-bit (WOB) target.
Methods and systems for performing automated drilling of a wellbore
There are described methods, systems, and techniques for performing automated drilling of a well bore. The well bore is drilled according to one or more drilling parameter targets associated with one or more corresponding drilling parameters. A controlling drilling parameter of the one or more drilling parameters is determined to be outside a threshold window. In response to determining that a stringer has been encountered, one or more controlled drilling parameter targets of the one or more drilling parameter targets are updated. The controlled drilling parameter targets comprise a revolutions per minute (RPM) target and weight-on-bit (WOB) target.
PREDICTIVE MODELS AND MULTI-OBJECTIVE CONSTRAINT OPTIMIZATION ALGORITHM TO OPTIMIZE DRILLING PARAMETERS OF A WELLBORE
A computer-readable medium performs a method for performing a drilling operation in a formation. A plurality of predictive models are determined. Each predictive model of the plurality of predictive models is determined for an interval in the downhole formation, wherein each predictive model of the plurality of predictive models relates one or more drilling parameters of the drilling operation to a plurality of objectives for the drilling operation. A plurality of target objectives is defined. A plurality of outcomes is determined for each of the predictive models of the plurality of predictive models and the plurality of target objectives. An optimization is performed to select an outcome from the plurality of outcomes. The drilling operation is performed using the selected outcome to achieve the plurality of target objectives.
PREDICTIVE MODELS AND MULTI-OBJECTIVE CONSTRAINT OPTIMIZATION ALGORITHM TO OPTIMIZE DRILLING PARAMETERS OF A WELLBORE
A computer-readable medium performs a method for performing a drilling operation in a formation. A plurality of predictive models are determined. Each predictive model of the plurality of predictive models is determined for an interval in the downhole formation, wherein each predictive model of the plurality of predictive models relates one or more drilling parameters of the drilling operation to a plurality of objectives for the drilling operation. A plurality of target objectives is defined. A plurality of outcomes is determined for each of the predictive models of the plurality of predictive models and the plurality of target objectives. An optimization is performed to select an outcome from the plurality of outcomes. The drilling operation is performed using the selected outcome to achieve the plurality of target objectives.
Cross-plot engineering system and method
In one embodiment, a method includes facilitating a real-time cross-plot display of drilling-performance data for a current well. The real-time cross-plot display includes a plurality of data plots represented on a common graph such that each data plot specifying at least two drilling parameters. Each data plot includes a plurality of data points such that each data point is expressable as Cartesian coordinates in terms of the at least two drilling parameters. The method further includes receiving new channel data for the current well from a wellsite computer system. In addition, the method includes creating, from the new channel data, new data points for the plurality of data plots as the new channel data is received. Moreover, the method includes updating the plurality of data plots with the new data points as the new data points are created.
Cross-plot engineering system and method
In one embodiment, a method includes facilitating a real-time cross-plot display of drilling-performance data for a current well. The real-time cross-plot display includes a plurality of data plots represented on a common graph such that each data plot specifying at least two drilling parameters. Each data plot includes a plurality of data points such that each data point is expressable as Cartesian coordinates in terms of the at least two drilling parameters. The method further includes receiving new channel data for the current well from a wellsite computer system. In addition, the method includes creating, from the new channel data, new data points for the plurality of data plots as the new channel data is received. Moreover, the method includes updating the plurality of data plots with the new data points as the new data points are created.
Monitoring Equipment of a Plurality of Drill Rigs
Systems and methods for monitoring equipment of multiple drill rigs. Each drill rig comprises multiple equipment units collectively operable to perform well construction operations to construct a well. An example monitoring system may be operable to receive operational data from each drill rig, determine operational status of each drill rig based at least partially on the operational data, and determine operational health indicators for each equipment unit of each drill rig based at least partially on the operational data. Each operational health indicator is indicative of operational health of a corresponding equipment unit with respect to a different operational health category. The monitoring system may be further operable to display the operational status for each drill rig, including the operational health indicators for each equipment unit of each drill rig, as a single page on a video output device.
Monitoring Equipment of a Plurality of Drill Rigs
Systems and methods for monitoring equipment of multiple drill rigs. Each drill rig comprises multiple equipment units collectively operable to perform well construction operations to construct a well. An example monitoring system may be operable to receive operational data from each drill rig, determine operational status of each drill rig based at least partially on the operational data, and determine operational health indicators for each equipment unit of each drill rig based at least partially on the operational data. Each operational health indicator is indicative of operational health of a corresponding equipment unit with respect to a different operational health category. The monitoring system may be further operable to display the operational status for each drill rig, including the operational health indicators for each equipment unit of each drill rig, as a single page on a video output device.