E21B45/00

DEVICE AND METHOD FOR DRILLING WITH AUTOMATIC DRILLING PARAMETERS ADAPTATION

A drilling machine and a drilling method including drilling a first bore in a material with a drilling machine by applying a torque to a drilling tool for imparting a rotation at a first rotational speed to the drilling tool, and applying a thrust to the drilling tool for advancing the drilling tool at a first feed speed into the material, wherein a drilling parameter is measured while drilling the first bore, and a second rotational speed and a second feed speed are determined based on the drilling parameter, then drilling a second bore at the second rotational speed and at the second feed speed.

Predictive torque and drag estimation for real-time drilling

Certain aspects and features relate to a system that includes a drilling tool, a processor, and a non-transitory memory device that includes instructions that are executable by the processor to cause the processor to perform operations. The operations include receiving input data that corresponds to characteristics of at least one of drilling fluid, a drillstring, or a wellbore. The operations also include calculating at least one dynamic sideforce and at least one dynamic, hydraulic force based at least in part on the input data. The operations also include determining an equilibrium solution for an output value using the at least one dynamic sideforce and at least one dynamic, hydraulic force. The operations also include applying the output value to the drilling tool for controlling operation of the drilling tool.

Predictive torque and drag estimation for real-time drilling

Certain aspects and features relate to a system that includes a drilling tool, a processor, and a non-transitory memory device that includes instructions that are executable by the processor to cause the processor to perform operations. The operations include receiving input data that corresponds to characteristics of at least one of drilling fluid, a drillstring, or a wellbore. The operations also include calculating at least one dynamic sideforce and at least one dynamic, hydraulic force based at least in part on the input data. The operations also include determining an equilibrium solution for an output value using the at least one dynamic sideforce and at least one dynamic, hydraulic force. The operations also include applying the output value to the drilling tool for controlling operation of the drilling tool.

Methods for assisted and automated horizontal well geosteering

A method of automated or assisted geosteering for drilling of a horizontal well compromises automated or assisted estimation of a well's position in a target geological formation using the data acquired during the drilling process.

Methods for assisted and automated horizontal well geosteering

A method of automated or assisted geosteering for drilling of a horizontal well compromises automated or assisted estimation of a well's position in a target geological formation using the data acquired during the drilling process.

METHOD FOR PREDICTING AND OPTIMIZING RATE OF PENETRATION (ROP) FOR OIL AND GAS DRILLING BASED ON BAYESIAN OPTIMIZATION

A method for predicting and optimizing an ROP for oil and gas drilling based on Bayesian optimization includes: acquiring raw drilling data according to a preset sampling period, constructing an initial sample data set based on the raw drilling data, constructing an ROP prediction model based on the initial sample data set, and predicting an ROP at a next sample point through a Gaussian process regression based on the ROP prediction model. The present invention realizes rapid analysis of historical drilling data and accurate prediction of an ROP range at a sample point in a feasible domain. The method can obtain an optimized ROP and an optimized engineering parameter through Bayesian optimization, and obtain an engineering parameter corresponding to an optimal ROP. The method has few restrictions on the drilling engineering parameter and the raw formation parameter, improves prediction accuracy, and avoids the problem of blurred parameter value boundaries.

METHOD FOR PREDICTING AND OPTIMIZING RATE OF PENETRATION (ROP) FOR OIL AND GAS DRILLING BASED ON BAYESIAN OPTIMIZATION

A method for predicting and optimizing an ROP for oil and gas drilling based on Bayesian optimization includes: acquiring raw drilling data according to a preset sampling period, constructing an initial sample data set based on the raw drilling data, constructing an ROP prediction model based on the initial sample data set, and predicting an ROP at a next sample point through a Gaussian process regression based on the ROP prediction model. The present invention realizes rapid analysis of historical drilling data and accurate prediction of an ROP range at a sample point in a feasible domain. The method can obtain an optimized ROP and an optimized engineering parameter through Bayesian optimization, and obtain an engineering parameter corresponding to an optimal ROP. The method has few restrictions on the drilling engineering parameter and the raw formation parameter, improves prediction accuracy, and avoids the problem of blurred parameter value boundaries.

Intelligent Peak Detection Method Under Physical Phenomenon

A method for downhole measurement operations. The method may include taking one or more measurements with a sensor disposed in a bottom hole assembly, converting the one or more measurements into one or more revolutions-per-minute (RPM) measurements, identifying one or more frequency components of the one or more RPM measurements using a Fast Fourier Transform, identifying one or more peaks of the one or more frequency components, and identifying torsional oscillation based at least in part on the one or more peaks. The method may be performed on a non-transitory computer-readable tangible medium comprising executable instructions that cause a computer device to take one or more signal measurements, identify one or more frequency components of the one or more signal measurements using a Fast Fourier Transform, and identify one or more peaks of the one or more frequency components.

Intelligent Peak Detection Method Under Physical Phenomenon

A method for downhole measurement operations. The method may include taking one or more measurements with a sensor disposed in a bottom hole assembly, converting the one or more measurements into one or more revolutions-per-minute (RPM) measurements, identifying one or more frequency components of the one or more RPM measurements using a Fast Fourier Transform, identifying one or more peaks of the one or more frequency components, and identifying torsional oscillation based at least in part on the one or more peaks. The method may be performed on a non-transitory computer-readable tangible medium comprising executable instructions that cause a computer device to take one or more signal measurements, identify one or more frequency components of the one or more signal measurements using a Fast Fourier Transform, and identify one or more peaks of the one or more frequency components.

METHOD FOR IMPROVED DRILLING PERFORMANCE AND PRESERVING BIT CONDITIONS UTILIZING REAL-TIME DRILLING PARAMETERS OPTIMIZATION
20230125398 · 2023-04-27 ·

A method of optimizing a design of a wellbore drilling operation based on at least one set of offset well data. A drilling path record for each offset well comprises a set of drilling parameters separated into depth segments. An optimization process determines a drilling dysfunction for each set of drilling parameter by comparing the drilling parameter to a maximum value. The optimization process determines the maximum rate of penetration for each depth segment by comparing the sets of drilling parameters without a drilling dysfunction. The optimization process generates an optimum drilling roadmap in response to determining the drilling parameters for the maxim um rate of penetration for each depth segment. A drilling operation can drill a wellbore via the optimum drilling roadmap.