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Schlumberger Technology Corporation patent applications on April 10th, 2025

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Patent Applications by Schlumberger Technology Corporation on April 10th, 2025

Schlumberger Technology Corporation: 25 patent applications

Schlumberger Technology Corporation has applied for patents in the areas of E21B49/08 (5), G01N30/02 (3), G01N33/28 (3), E21B49/00 (2), E21B47/00 (2) E21B43/16 (2), C09D5/29 (1), G01N30/8665 (1), G06T5/75 (1), G06Q50/02 (1)

With keywords such as: gas, formation, include, configured, image, measurements, fluid, sample, tool, and data in patent application abstracts.



Patent Applications by Schlumberger Technology Corporation

20250115772. WATER-SENSITIVE SMART COATING FOR FLOW AND CORROSION TRACKING_simplified_abstract_(schlumberger technology corporation)

Inventor(s): Manuel Marya of Sugar Land TX US for schlumberger technology corporation, Alireza Zolfaghari of Sugar Land TX US for schlumberger technology corporation

IPC Code(s): G01N21/78, E21B47/00, G08B21/18

CPC Code(s): C09D5/29



Abstract: a material composition may include one or more polymeric materials. the material composition may also include one or more inorganic particles comprising oxides, carbonates, sulfides, or any combination thereof. further, the material composition may include one or more metal particles that produce a detectable change in an electrical property or an optical property based on a reaction with at least one of h2o, co2, or h2s. the one or more inorganic particles and the one or more metal particles may be dispersed within the one or more polymeric materials.


20250116160. GEOSTEERING OPTIMIZATION_simplified_abstract_(schlumberger technology corporation)

Inventor(s): Daria Ponomareva of Abu Dhabi AE for schlumberger technology corporation, Hussein Mustapha of Abu Dhabi AE for schlumberger technology corporation, Samat Ramatullayev of Abu Dhabi AE for schlumberger technology corporation

IPC Code(s): E21B7/04, G05B13/02, G05B13/04

CPC Code(s): E21B7/04



Abstract: certain aspects of the disclosure provide for systems and methods for geosteering a wellbore using an ensemble of machine learning models. the method may include processing one or more inputs with a first machine learning model trained to infer an updated geological model associated with the wellbore. the method may further include processing with a second machine learning model trained to generate a geosteering recommendation for the wellbore, one or more of: the updated geological model, drilling data from one or more offset wells, drilling requirements associated with the wellbore, or completion requirements associated with the wellbore to the second machine learning model. the method may further include outputting the geosteering recommendation for the wellbore.


20250116174. STABILITY EVALUATION APPROACH FOR PRODUCTION METERING OPTIMIZATION_simplified_abstract_(schlumberger technology corporation)

Inventor(s): Denis Syresin of Sugar Land TX US for schlumberger technology corporation, Jean-Philippe Hussenet of Sugar Land TX US for schlumberger technology corporation, Roman Vladimirovich Korkin of Katy TX US for schlumberger technology corporation, Yermek Kaipov of Dhahran SA for schlumberger technology corporation

IPC Code(s): E21B43/12, E21B47/10, G01F15/00

CPC Code(s): E21B43/12



Abstract: embodiments presented provide for an optimization approach for production metering. the optimization approach uses a stability evaluation with data sets to provide for accurate decision making by a user.


20250116176. USING DEEP-LEARNING MODELS TO AUTOMATICALLY IDENTIFY SUBSURFACE RESERVOIR BOUNDARIES IN REAL TIME_simplified_abstract_(schlumberger technology corporation)

Inventor(s): Zhenhua Li of Singapore SG for schlumberger technology corporation, Fei Wang of Tianjin CN for schlumberger technology corporation, Farid Toghi of Beijing CN for schlumberger technology corporation, Soazig Leveque of Seria BN for schlumberger technology corporation, Bingqi Liu of Beijing CN for schlumberger technology corporation, Ji Li of Beijing CN for schlumberger technology corporation

IPC Code(s): E21B43/16

CPC Code(s): E21B43/16



Abstract: the disclosure focuses on using a boundary identification system to actively determine borders and boundaries in subsurface geological features, such as reservoirs. in various implementations, the boundary identification system uses an ensemble image model leveraging multiple image-to-image machine-learning models to efficiently and accurately generate reservoir boundaries from inversion result profiles and images. in many instances, the boundary identification system generates reservoir boundaries from inversion results in real-time. additionally, in some instances, the boundary identification system further improves the accuracy of the ensemble image model by diversifying the inputs and using ensembling on the individual model outputs during inference.


20250116177. USING DEEP-LEARNING MODELS TO AUTOMATICALLY IDENTIFY SUBSURFACE RESERVOIR BOUNDARIES IN REAL TIME_simplified_abstract_(schlumberger technology corporation)

Inventor(s): Zhenhua Li of Singapore SG for schlumberger technology corporation, Fei Wang of Tianjin CN for schlumberger technology corporation, Farid Toghi of Beijing CN for schlumberger technology corporation, Soazig Leveque of Seria BN for schlumberger technology corporation, Bingqi Liu of Beijing CN for schlumberger technology corporation, Ji Li of Beijing CN for schlumberger technology corporation

IPC Code(s): E21B43/16

CPC Code(s): E21B43/16



Abstract: a computer-implemented method for automatically determining subsurface reservoir boundaries of a wellbore subsurface reservoir in a drilling system that include receiving an inversion image that forms part of an electromagnetic inversion result profile that indicates subsurface measurements captured by a downhole resistivity sensor. the method also includes generating an image mask for the inversion image using an ensemble image model that enables initial image masks outputted from multiple image-to-image machine-learning models into the image mask. the method additionally includes augmenting the inversion image with subsurface boundaries based on the image mask to generate an augmented inversion image. the method further includes generating at least one of: one-dimensional, two-dimensional, and three-dimensional representations of a subsurface area which indicate geological features and properties of the wellbore subsurface reservoir and adjusting a drilling parameter of a downhole drill within the wellbore subsurface reservoir based on the augmented inversion image.


20250116180. STIMULATION JOB DESIGN AND EXECUTION ADVISORS FOR OPTIMAL FRACTURE PERFORMANCE_simplified_abstract_(schlumberger technology corporation)

Inventor(s): Timothy Drews of Sugar Land TX US for schlumberger technology corporation, Abdul Muqtadir Khan of Sugar Land TX US for schlumberger technology corporation, Sidney Flores of Sugar Land TX US for schlumberger technology corporation, Esteban Ugarte Daza of Sugar Land TX US for schlumberger technology corporation, Samir Menasria of Sugar Land TX US for schlumberger technology corporation, Brandon Hobbs of Sugar Land TX US for schlumberger technology corporation

IPC Code(s): E21B43/26, G05B23/02

CPC Code(s): E21B43/26



Abstract: systems and methods presented herein enable stimulation job design and execution advisors for optimal fracture performance. for example, a control system may include one or more processors configured to execute processor-executable instructions stored on memory of the control system, wherein the processor-executable instructions, when executed by the one or more processors, cause the control system to initiate and implement one or more software modules in a modular manner to optimize parameters of a hydraulic stimulation job, and to provide advice regarding one or more adjustments to the parameters of the hydraulic stimulation job in substantially real-time during performance of the hydraulic stimulation job.


20250116183. SYSTEMS AND METHODS FOR DETECTING HIGH FREQUENCY TORSIONAL OSCILLATION_simplified_abstract_(schlumberger technology corporation)

Inventor(s): Jibin Shi of Pearland TX US for schlumberger technology corporation, Antoine Marcel Benard of Sugar Land TX US for schlumberger technology corporation, Ke Li of Sugar Land TX US for schlumberger technology corporation, Fei Song of Sugar Land TX US for schlumberger technology corporation, Yong Chang of Sugar Land TX US for schlumberger technology corporation

IPC Code(s): E21B44/04

CPC Code(s): E21B44/04



Abstract: systems and methods provide a bottom hole assembly for a wellbore that includes a drill bit and multiple drilling tools. the multiple drilling tools include multiple sensors configured to capture a multiple instances of a common measurement type at multiple locations along a drill string. the multiple drilling tools also include processing circuitry configured to compare the multiple instances of the common measurement type to determine a difference among the multiple instances. the processing circuitry is also configured to determine that the difference is greater than a threshold corresponding to an inference of high frequency torsional oscillation. furthermore, the processing circuitry is further configured to send an indication of an occurrence of high frequency torsional oscillation in the bottom hole assembly.


20250116185. PROCESSES FOR MONITORING CORROSION AND CARRYING OUT OPERATIONAL PLANS USING SAME_simplified_abstract_(schlumberger technology corporation)

Inventor(s): Sachit Saumya of Clamart FR for schlumberger technology corporation, Apoorva Kumar of Dhahran SA for schlumberger technology corporation, Wael Abdallah of Dhahran SA for schlumberger technology corporation, Duaa Abdrabalamir Alsenan of Dhahran SA for schlumberger technology corporation, Ali Hussein Al Ali of Dhahran SA for schlumberger technology corporation

IPC Code(s): E21B47/00

CPC Code(s): E21B47/006



Abstract: processes for monitoring downhole corrosion and directing operational plans using same. in some embodiments, the process can include acquiring a plurality of corrosion factors for at least one well. the process can also include acquiring a plurality of corrosion loss logs for the at least one well. the plurality of corrosion factors and the plurality of corrosion loss logs can be provided to a repository. the repository can be provided to a machine learning model to generate a corrosion prediction. at least the plurality of corrosion factors, the plurality of corrosion loss logs, and the corrosion prediction can be combined into a user dashboard. the user dashboard can be used to determine an operational plan for the at least one well. the determined operational plan for the at least one well can be carried out.


20250116187. STIMULATION JOB DESIGN AND EXECUTION ADVISORS FOR OPTIMAL FRACTURE PERFORMANCE_simplified_abstract_(schlumberger technology corporation)

Inventor(s): Timothy Drews of Sugar Land TX US for schlumberger technology corporation, Abdul Muqtadir Khan of Sugar Land TX US for schlumberger technology corporation, Sidney Flores of Sugar Land TX US for schlumberger technology corporation, Esteban Ugarte Daza of Sugar Land TX US for schlumberger technology corporation, Samir Menasria of Sugar Land TX US for schlumberger technology corporation, Brandon Hobbs of Sugar Land TX US for schlumberger technology corporation

IPC Code(s): E21B47/06, E21B43/25

CPC Code(s): E21B47/06



Abstract: systems and methods presented herein enable stimulation job design and execution advisors for optimal fracture performance. for example, a control system may include one or more processors configured to execute processor-executable instructions stored on memory of the control system, wherein the processor-executable instructions, when executed by the one or more processors, cause the control system to initiate and implement one or more software modules in a modular manner to optimize parameters of a hydraulic stimulation job, and to provide advice regarding one or more adjustments to the parameters of the hydraulic stimulation job in substantially real-time during performance of the hydraulic stimulation job.


20250116190. PROCESSES FOR DETERMINING FORMATION SALINITY AND SATURATION_simplified_abstract_(schlumberger technology corporation)

Inventor(s): Wael Abdallah of Al-Khobar SA for schlumberger technology corporation, Simone Di Santo of Al Khobar SA for schlumberger technology corporation, Ali Jasim A Al Solial of Dhahran SA for schlumberger technology corporation, Shouxiang Ma of Dhahran SA for schlumberger technology corporation

IPC Code(s): E21B49/08, E21B47/07

CPC Code(s): E21B49/08



Abstract: processes for characterizing reservoir formation parameters such as water salinity and water saturation. in some embodiments, the process can include directing a heat impulse into a formation sample that can include a matrix component and a fluid component at an input location. the heat impulse can be allowed to pass through the formation sample such that a matrix impulse forms through the matrix component and a fluid impulse forms through the fluid component. the matrix and fluid impulses can convolve at a measurement location to provide a convolved impulse. a derivative analysis of the convolved impulse can be performed to derive thermal transient measurements. a fluid thermal model can be developed using the thermal transient measurements. the fluid thermal model can be integrated with one or more downhole logs and/or input parameters to create an integrated model. one or more reservoir parameters can be determined from the integrated model.


20250116191. SYSTEMS AND METHODS FOR WELL TESTING_simplified_abstract_(schlumberger technology corporation)

Inventor(s): Chao Wang of Missouri City TX US for schlumberger technology corporation

IPC Code(s): E21B49/08, E21B33/12, E21B47/06

CPC Code(s): E21B49/081



Abstract: a well testing package is coupled to a well. a first fluid is produced from a first production zone of the well to the well testing package. the first fluid is returned to the well from the well testing package, and is injected into a second production zone of the well.


20250116589. SYSTEMS AND METHODS FOR QUANTIFYING AND MONITORING HYDROCARBON VOLUMES AND SURFACE GAS EMISSIONS FOR WIRELINE FORMATION TESTING_simplified_abstract_(schlumberger technology corporation)

Inventor(s): Adriaan Gisolf of Voluntari RO for schlumberger technology corporation, Hua Yu of Beijing CN for schlumberger technology corporation, Yifei Wu of Sugar Land TX US for schlumberger technology corporation, Richard Jackson of Houston TX US for schlumberger technology corporation, Hadrien Dumont of Paris FR for schlumberger technology corporation, Youxiang Zuo of Edmonton CA for schlumberger technology corporation, Thomas Pfeiffer of Katy TX US for schlumberger technology corporation, Kang Wang of Houston TX US for schlumberger technology corporation, Simon Edmundson of Houston TX US for schlumberger technology corporation

IPC Code(s): G01N9/32, E21B49/08, G01N33/28

CPC Code(s): G01N9/32



Abstract: systems and methods presented herein generally relate to a formation testing platform for quantifying and monitoring hydrocarbon volumes and surface gas emissions using formation testing data collected by a formation testing tool. for example, a method includes allowing one or more fluids from a subterranean formation to flow through a formation testing tool disposed in a wellbore of a well; determining, via the formation testing tool, data relating to one or more properties of the one or more fluids; communicating the data relating to the one or more properties of the one or more fluids from the formation testing tool to a surface control system; and determining, via the surface control system, hydrocarbon content of the one or more fluids and/or gas emissions relating to the one or more fluids based at least in part on the data relating to the one or more properties of the one or more fluids.


20250116624. PROCESSES FOR DETERMINING FORMATION SALINITY AND IDENTIFYING OIL BEARING ZONES IN FRESHWATER PAY ZONES_simplified_abstract_(schlumberger technology corporation)

Inventor(s): Mohammed Fadhel Al-Hamad of Saihat SA for schlumberger technology corporation, Wael Abdallah of Al-Khobar SA for schlumberger technology corporation, Shouxiang Mark Ma of Dhahran SA for schlumberger technology corporation, Mustafa A. Huwaider of Dhahran SA for schlumberger technology corporation

IPC Code(s): G01N27/06, E21B49/02, E21B49/08, G01N1/44, G01N33/24, G01N33/28

CPC Code(s): G01N27/06



Abstract: processes for determining formation salinity and/or processes for identifying oil bearing and/or water bearing zones in freshwater or relatively low salinity formations. in some embodiments, the process for determining formation water salinity can include measuring resistivity of a formation fluid sample at a first temperature (t) and at a second temperature (t), where tand tcan be separated by a temperature difference (�t). the process can also include calculating a resistivity factor value based on the resistivities measured at tand t. the process can also include determining a salinity of the formation fluid sample based on the resistivity factor value and the �t. the process can also include initiating a downhole operation using the determined salinity of the formation fluid sample.


20250116635. APPARATUS FOR FAST GAS CHROMATOGRAPHY AND INFRARED SPECTROSCOPY MEASUREMENTS OF OILFIELD FLUIDS_simplified_abstract_(schlumberger technology corporation)

Inventor(s): Mahdi Ammar of Clamart FR for schlumberger technology corporation, Dariusz Strapoc of Le Plessis-Robinson FR for schlumberger technology corporation

IPC Code(s): G01N30/02, G01N30/74, G01N33/22

CPC Code(s): G01N30/02



Abstract: an apparatus for making fast gas chromatography measurements of an oilfield gas includes an infrared laser configured to emit an infrared laser beam; an infrared sensor configured to receive the infrared laser beam; a fabry-perot gas cell deployed in a path between the infrared laser and the infrared sensor such that the infrared laser beam passes through the gas cell, the gas cell configured to receive the gas sample; a gas chromatography column assembly including an input port, a gas chromatography column, and an output port, the gas chromatography column assembly configured to provide the gas sample to the fabry-perot gas cell; and a controller in electronic communication with the infrared sensor and configured to process the received infrared laser beam to estimate a composition of the gas sample.


20250116639. CHROMATOGRAM DECOMPOSITION AND CORRESPONDING CALIBRATION_simplified_abstract_(schlumberger technology corporation)

Inventor(s): Can Evren Yarman of Paris FR for schlumberger technology corporation

IPC Code(s): G01N30/86, G01N30/02

CPC Code(s): G01N30/8665



Abstract: a method for calibrating a gc apparatus includes measuring first and second chromatograms of corresponding first and second calibration samples in which the first calibration sample includes a first gas and the second calibration sample includes first, second, and third gases. the first chromatogram is fit with a basis function derived from a mass balance equation to obtain a first modeled chromatogram. the second chromatogram is fit with first, second, and third affine transformed responses of the first modeled chromatogram to obtain a second modeled chromatogram. the second modeled chromatogram may be used to decompose a third chromatogram that is measured of an unknown gas sample and to estimate the composition thereof.


20250116640. CROSS QUALITY CONTROL OF MUD LOGGING MEASUREMENTS_simplified_abstract_(schlumberger technology corporation)

Inventor(s): Nicholas Abolins of Paris FR for schlumberger technology corporation, Pierrick Ferrando of Magny-Le-Hongre FR for schlumberger technology corporation

IPC Code(s): G01N30/88, E21B21/06, E21B49/00, G01N30/02, G01N33/00, G01N35/00

CPC Code(s): G01N30/88



Abstract: a method for mud logging includes making first gas measurements of a first gas sample obtained from circulating drilling fluid on a drill rig using a first gas chain; making second gas measurements of a second gas sample obtained from circulating drilling fluid on a drill rig using a second gas chain; defining a quality control window for the first gas measurements from the second gas measurements; and cross quality controlling the first and second gas measurements by comparing the first gas measurements with the quality control window.


20250116648. MUD LOGGING OF NATURAL HYDROGEN_simplified_abstract_(schlumberger technology corporation)

Inventor(s): Dariusz Strapoc of Le Plessis-Robinson FR for schlumberger technology corporation, Nicholas Ivars Abolins of Paris FR for schlumberger technology corporation, Mahdi Ammar of Clamart FR for schlumberger technology corporation, Aleksandar Gligorijevic of Belgrade RS for schlumberger technology corporation, Javier Suarez of Oklahoma City OK US for schlumberger technology corporation, Harry Fowlow of Oklahoma City OK US for schlumberger technology corporation

IPC Code(s): G01N33/28, E21B21/06, E21B49/08, H01J49/00

CPC Code(s): G01N33/2841



Abstract: a method for estimating a quantity of natural hydrogen in a subterranean formation includes degassing drilling fluid obtained from a wellbore to obtain a gas sample including a quantity of hydrogen gas, measuring a concentration of hydrogen in the gas sample, and applying a correction to the measured concentration of hydrogen to estimate the quantity of natural hydrogen in the subterranean formation.


20250116791. AUTOMATIC SONIC DATA CLASSIFICATION AND UNCERTAINTY CONTROL USING VISUAL FEATURES_simplified_abstract_(schlumberger technology corporation)

Inventor(s): Gurami Keretchashvili of Clamart FR for schlumberger technology corporation, Ting Lei of Cambridge MA US for schlumberger technology corporation, Lin Liang of Cambridge MA US for schlumberger technology corporation

IPC Code(s): G01V1/50

CPC Code(s): G01V1/50



Abstract: embodiments presented provide for a classification of sonic data. in one aspect, visual features of sonic data are used to classify the sonic data and provide a quality control mechanism to ensure that a researcher understands the quality of the data calculations. in one or more embodiments, the method can obtain the raw sonic data from field measurements. the field measurements can pertain to downhole geological features.


20250116793. NMR INTERPRETATION USING A RADIAL RESPONSE FUNCTION_simplified_abstract_(schlumberger technology corporation)

Inventor(s): Ahmed Fathi Mahmoud Allam of Dammam SA for schlumberger technology corporation, David Furse Allen of Katy TX US for schlumberger technology corporation, Zeyad Ramadan of Katy TX US for schlumberger technology corporation

IPC Code(s): G01V3/32, G01V3/34

CPC Code(s): G01V3/32



Abstract: a method for interpreting nuclear magnetic resonance (nmr) logging measurements includes acquiring nmr logging measurements in a horizontal or near horizontal wellbore. a radial response function for the nmr logging tool is acquired and used in combination with the acquired nmr logging measurements to interpret a subterranean formation model including at least two layers. the radial response function may be estimated by computing contribution coefficients from a first derivative of nmr measurements made at a plurality of fluid levels in a fluid tank.


20250116794. COMPENSATED NEUTRON GAMMA DENSITY_simplified_abstract_(schlumberger technology corporation)

Inventor(s): Avtandil Tkabladze of Sugar Land TX US for schlumberger technology corporation

IPC Code(s): G01V5/10, E21B49/00

CPC Code(s): G01V5/105



Abstract: a downhole tool is provided with a neutron generator configured to emit neutrons into a geological formation. the downhole tool includes one or more neutron detectors configured to detect neutrons that return to the downhole tool after interacting with the geological formation. the downhole tool also includes one or more gamma ray detectors configured to detect gamma rays from the geological formation that form when neutrons are inelastically scattered by the geological formation. measurements from a combination of detectors of at least one of the one or more neutron detectors and at least one of the one or more gamma ray detectors are used to determine formation density. a first formation density determined using a first combination of detectors is used to compensate a second formation density determined using a second combination of detectors.


20250116795. SHIELDING PORT FOR NUCLEAR LOGGING TOOL WITH GAMMA RAY SOURCE_simplified_abstract_(schlumberger technology corporation)

Inventor(s): Gerardo Conanan of Sugar Land TX US for schlumberger technology corporation

IPC Code(s): G01V5/12, E21B47/017

CPC Code(s): G01V5/12



Abstract: a system includes a shield of a nuclear logging tool. the shield includes a shielding insert configured to mount at least partially inside the nuclear logging tool between a gamma ray source of the nuclear logging tool and a gamma ray detector of the nuclear logging tool. a first portion of the shielding insert is configured to mount in a collar of the nuclear logging tool and a second portion of the shielding insert is configured to mount in a chassis of the nuclear logging tool. the shield also includes a chassis shielding block configured to mount in the chassis between the gamma ray source and the gamma ray detector and a shielding top plate configured to couple to the collar and at least partially retain the shielding insert in the collar.


20250117810. AUTOMATING THE MONITORING OF A LARGE POPULATION OF FIELD SYSTEMS_simplified_abstract_(schlumberger technology corporation)

Inventor(s): Denis Syresin of Sugar Land TX US for schlumberger technology corporation, Jean-Philippe Hussenet of Sugar Land TX US for schlumberger technology corporation, Roman Vladimirovich Korkin of Katy TX US for schlumberger technology corporation

IPC Code(s): G06Q30/018, E21B41/00, G06Q10/0635

CPC Code(s): G06Q30/018



Abstract: embodiments presented provide for a system and method for automating the monitoring of a large population of field systems. the recovery of data pertaining to each of the field systems may be used in structural health monitoring to increase project safety, improve maintenance of the facilities, and increase economic returns.


20250117864. ANALYZING AND ENHANCING PERFORMANCE OF OILFIELD ASSETS_simplified_abstract_(schlumberger technology corporation)

Inventor(s): Jaganvas Perecharla of Sugar Land TX US for schlumberger technology corporation, Rajarshi Banerjee of Houston TX US for schlumberger technology corporation, Priyavrat Shukla of Richmond TX US for schlumberger technology corporation, Manas Kumar Koley of Katy TX US for schlumberger technology corporation, Kaustubh Shrivastava of Stafford TX US for schlumberger technology corporation

IPC Code(s): G06Q50/02, G06Q10/0639

CPC Code(s): G06Q50/02



Abstract: techniques for analyzing and enhancing performance of oilfield assets are presented. the techniques can include: receiving oilfield data input; projecting production for multiple wells in a field based at least in part on the oilfield data input and using one or more of decline curve analysis (dca), a machine learning model, rate transient analysis (rta); aggregating the projected production for the plurality of wells; identifying one or more wells for additional completion operations; determining one or more completion operations to conduct for the one or more identified wells, wherein the determining uses a machine learning model to forecast results of the one or more completion operations; computing, for the one or more identified wells, generational analytics related to well behaviors and based at least in part on respective well ages; and displaying, for the one or more identified wells, analytics, recommendations, or projections using a display dashboard.


20250117899. SYSTEM AND METHOD FOR EVALUATING VOIDS AND PARTICLES IN SOLIDS_simplified_abstract_(schlumberger technology corporation)

Inventor(s): Hafsa AHMED of Evry Courcouronnes FR for schlumberger technology corporation, Vitoria MUSSI TOSCHI of Clamart FR for schlumberger technology corporation, David THUILLIEZ of Clamart FR for schlumberger technology corporation, Guillaume Deville of Clamart FR for schlumberger technology corporation

IPC Code(s): G06T5/75, G06T5/10

CPC Code(s): G06T5/75



Abstract: a system for evaluating an image of a material. the system includes an image processing unit that obtains an image of an internal portion of a target material, the image including pixels, and a filtering controller that performs noise filtering of the pixels of the received image. the system includes avoid separation controller that extracts a subset of the pixels corresponding to a target region of the image and segments the subset of pixels into a first portion comprising voids and particles and a remaining portion. the system also includes a void and particle counting controller that determines a percentage of the first portion with respect to the target region and presents a report of the target material, the report including the percentage.


20250118073. RIG STATE DETECTION USING VIDEO DATA_simplified_abstract_(schlumberger technology corporation)

Inventor(s): Laeticia Shao of Menlo Park CA US for schlumberger technology corporation, Suhas Suresha of Menlo Park CA US for schlumberger technology corporation, Indranil Roychoudhury of Menlo Park CA US for schlumberger technology corporation, Crispin Chatar of Menlo Park CA US for schlumberger technology corporation, Soumya Gupta of Menlo Park CA US for schlumberger technology corporation, Jose Celaya Galvan of Menlo Park CA US for schlumberger technology corporation

IPC Code(s): G06V10/764, G06T7/20, G06V10/25, G06V10/44

CPC Code(s): G06V20/41



Abstract: a method includes receiving training images representing a portion of a drilling rig over a first period of time, associating individual training images of the training images with times at which the individual training images were captured, determining a rig state at each of the times, classifying the individual training images based on the rig state at each of the times, training a machine learning model to identify rig state based on the classified training images, receiving additional images representing the portion of the drilling rig over a second period of time, and determining one or more rig states of the drilling rig during the second period of time using the machine learning model based on the additional images.


Schlumberger Technology Corporation patent applications on April 10th, 2025