E21B43/00

Core Data Augmentation Methods For Developing Data Driven Based Petrophysical Interpretation Models
20230077488 · 2023-03-16 · ·

A method for training a model. The method may include forming a data set from one or more measurements of core samples, selecting one or more parameters from the data set, inputting the one or more parameters into a kernel estimation function, determining a kernel density estimation from the kernel estimation function based at least in part on the one or more parameters, and selecting an input value based at least in part on the kernel density estimation. The method may further include creating a corresponding synthetic target value based at least in part on the input value, augmenting the data set with the corresponding synthetic target value and input value to form a synthetic data set, and training a petrophysical interpretation machine learning model from the data set and the synthetic data set.

Core Data Augmentation Methods For Developing Data Driven Based Petrophysical Interpretation Models
20230077488 · 2023-03-16 · ·

A method for training a model. The method may include forming a data set from one or more measurements of core samples, selecting one or more parameters from the data set, inputting the one or more parameters into a kernel estimation function, determining a kernel density estimation from the kernel estimation function based at least in part on the one or more parameters, and selecting an input value based at least in part on the kernel density estimation. The method may further include creating a corresponding synthetic target value based at least in part on the input value, augmenting the data set with the corresponding synthetic target value and input value to form a synthetic data set, and training a petrophysical interpretation machine learning model from the data set and the synthetic data set.

Pressure assisted oil recovery system and apparatus

A pressure assisted oil recovery system and apparatus that has a pulsating effect unit, a multiphasic flow meter, and a production lift system that passes through a wellbore up to an oil reservoir. The pulsating effect unit has a control valve and a smart control unit. The production lift system has production tubing and a wellhead. The pulsating effect unit is connected to the production lift system. The multiphasic flow meter is connected to the production tubing to obtain well production parameters data. The control valve opens and closes having an opening/closing predetermined frequency. When the control valve opens and closes, it generates pressure variations along the production tubing. The pressure variations create a pulsating effect on walls of the wellbore. The multiphasic flow meter and the pulsating effect unit set an optimal opening/closing frequency of the control valve.

Devices and techniques relating to landfill gas extraction

A control system for controlling extraction of landfill gas, comprising: at least one sensor configured to measure one or more characteristics of landfill gas; at least one flow control mechanism disposed in well piping and configured to control flow of the landfill gas through the well piping; and at least one processor configured to: obtain a measured concentration of a first gas in landfill gas; determine whether the measured concentration of the first gas is either less than a first threshold concentration or greater than a second threshold concentration; when it is determined that the measured concentration is less than the first threshold concentration, control the at least one flow control mechanism to reduce flow rate of landfill gas; and when it is determined that the concentration is greater than the second threshold concentration, control the at least one flow control mechanism to increase the flow rate of landfill gas.

Devices and techniques relating to landfill gas extraction

A control system for controlling extraction of landfill gas, comprising: at least one sensor configured to measure one or more characteristics of landfill gas; at least one flow control mechanism disposed in well piping and configured to control flow of the landfill gas through the well piping; and at least one processor configured to: obtain a measured concentration of a first gas in landfill gas; determine whether the measured concentration of the first gas is either less than a first threshold concentration or greater than a second threshold concentration; when it is determined that the measured concentration is less than the first threshold concentration, control the at least one flow control mechanism to reduce flow rate of landfill gas; and when it is determined that the concentration is greater than the second threshold concentration, control the at least one flow control mechanism to increase the flow rate of landfill gas.

Self-Powered Downhole Electrolysis Tool
20220333476 · 2022-10-20 ·

A downhole power generation system uses the inherent downhole energy in the well to operate an electrolysis system that creates hydrogen and oxygen gas. A turbine can be driven by movement in the well, which can drive a generator to create the electrolysis. Other embodiments can use other ways of obtaining energy from the well including the piezoelectric device or heat exchanger.

INTEGRATED METHOD AND STRUCTURE FOR IN-SITU HYDROGEN PRODUCTION FROM COAL SEAMS AND COALBED METHANE EXPLOITATION

The application discloses an integrated method and structure for in-situ hydrogen production from coal seams and coalbed methane exploitation, belonging to the technical field of energy exploitation. The method comprises: injecting gasification agent through an injection well, exploiting coalbed methane and gasification gas through a production well. The injection well is a stepped horizontal well, the injection well is provided with at least one, and the projections of the horizontal sections of any two injection wells in the vertical direction do not overlap. At least one horizontal section of the stepped horizontal well is arranged in any coal seam to be mined. The method of the present application avoids the large-area continuous gasification of a single coal seam and the repeated position gasification of overlapping multiple coal seams, reduces the change range and degree of formation stress, disperses the underground void volume, reduces the risk of formation or ground collapse.

Device and method for prevention of formation of sediments of paraffin and asphaltenes deposits in the pipeline
11473405 · 2022-10-18 ·

The device for preventing the formation of paraffin and asphaltene sediments and for the reduction of the viscosity of crude oil for use at an eruptive oil well, an oil well with pumpjack or for use at a pipeline, the stated device including six identical serially connected modules. Each module has an inlet spout and outlet spout. Crude oil under pressure passes through modules and simultaneously is in contact with different alloys. The device's elements consist of four different alloys that affect the crude oil while it passes through modules under pressure in the manner that it prevents the formation of paraffin and asphaltene deposits inside the pipeline or eruptive oil wells or oil wells with pumpjacks.

Detecting events in well reports

A system, computer-readable medium, and method for identifying drilling events in drilling reports, of which the method includes receiving one or more drilling reports including text data representing one or more observations recorded during a drilling activity, identifying a drilling event, a drilling activity, or both from the text data using a model, obtaining feedback based at least in part on the drilling event, the drilling activity, or both that were identified, and training the model based on the feedback.

Detecting events in well reports

A system, computer-readable medium, and method for identifying drilling events in drilling reports, of which the method includes receiving one or more drilling reports including text data representing one or more observations recorded during a drilling activity, identifying a drilling event, a drilling activity, or both from the text data using a model, obtaining feedback based at least in part on the drilling event, the drilling activity, or both that were identified, and training the model based on the feedback.