METHODS AND SYSTEMS FOR MACHINE LEARNING BASED DRILLING FLUID TREATMENT RESPONSE PREDICTION

    公开(公告)号:US20250059864A1

    公开(公告)日:2025-02-20

    申请号:US18450108

    申请日:2023-08-15

    Abstract: A method for determining drilling fluid properties. The method includes obtaining current drilling fluid properties for a drilling fluid used in a drilling operation, obtaining operational parameters related to the drilling operation, and obtaining a treatment, wherein the treatment describes one or more additives or processes to be applied the drilling fluid. The method further includes processing the current drilling fluid properties, the operational parameters, and the treatment with a treatment prediction system to determine a prediction for drilling fluid properties after treatment. The method further includes applying the treatment to the drilling fluid and using the drilling fluid, after application of the treatment, in the drilling operation.

    METHOD AND SYSTEM FOR KINEMATICS-DRIVEN DEEP LEARNING FRAMEWORK FOR SEISMIC VELOCITY ESTIMATION

    公开(公告)号:US20250044469A1

    公开(公告)日:2025-02-06

    申请号:US18362720

    申请日:2023-07-31

    Abstract: A system for enhancing traveltime information in a seismic dataset and determining a velocity model. The system includes a first initial velocity model, a forward modelling procedure, a machine-learned model, a drilling system with a wellbore planning system, and a computer. The computer is configured to: receive a non-synthetic seismic data set for a subsurface region of interest; perturb the first initial velocity model forming a first plurality of velocity models; simulate, with the forward modelling procedure, a first plurality of seismic data sets; form a first plurality of transformed seismic data sets with enhanced traveltime; train the machine-learned model using the first plurality of velocity models and the first plurality of transformed seismic data sets; transform the non-synthetic seismic data set to a non-synthetic transformed seismic data set; and process the non-synthetic seismic data set with the trained machine-learned model to predict a velocity model for the subsurface region.

    CONCURRENT OIL SATURATION AND POROSITY IMAGING USING COMPLETION-BASED ON-DEMAND ELECTRODES

    公开(公告)号:US20240402380A1

    公开(公告)日:2024-12-05

    申请号:US18325731

    申请日:2023-05-30

    Abstract: Methods and systems for determining electrical characteristics of a subsurface formation are disclosed. The method may include installing a first electrically insulating spacer between well liners in the well to form an on-demand electromagnetic source electrode and installing a second electrically insulating spacer between well liners in the well to form an on-demand electromagnetic receiver electrode. The method may further include performing an electrical survey using the on-demand electromagnetic source and receiver electrodes, determining a map of the at least one electrical characteristic in a subsurface region surrounding on-demand electromagnetic source and receiver electrodes based on the electrical survey, determining a map of at least one formation property based on the map of the electrical characteristic, and updating a hydrocarbon reservoir production plan based on the map of at least one formation property.

    SYSTEM AND METHOD FOR MODELING NATURAL FRACTURE NETWORKS

    公开(公告)号:US20240354474A1

    公开(公告)日:2024-10-24

    申请号:US18303383

    申请日:2023-04-19

    CPC classification number: G06F30/28

    Abstract: In some examples, a system includes a stress field assessment engine, implemented by at least one processor, to determine stress distribution and yield state data based on a geomechanical model, and a natural fracture determination engine, implemented by the at least one processor, to generate a natural fracture network model based on the stress distribution and yield state data. The system may implement a method that includes generating a geomechanical model of a subsurface formation, where the geomechanical model includes a formation model and a wellbore model, simulating the geomechanical model to determine stress distributions and yield states in the subsurface formation, and generating a natural fracture network model using a machine learning technique on the stress distributions and yield states.

    INTEGRATED INTERNAL COMBUSTION ELECTRIC MOTOR (ICEM) CONCEPT FOR HYBRID AND PLUG-IN HYBRID VEHICLE APPLICATION

    公开(公告)号:US20240351422A1

    公开(公告)日:2024-10-24

    申请号:US18305160

    申请日:2023-04-21

    CPC classification number: B60K6/26 B60K6/24 B60K6/365 B60K6/48 B60K2006/4825

    Abstract: A hybrid machine includes an engine, a first and second motor, a first and second generator, and a first and second geartrain. The engine generates power from a combustion reaction and includes an intake port, a combustion chamber, a piston, a crankshaft, and an exhaust port. The intake port receives air from an external environment. The combustion chamber mixes the air with fuel to create a mixture that is ignited. The piston actuates to rotate the crankshaft. The exhaust port delivers exhaust gases out of the engine. The first and second motors respectively include a first and second hub that rotate from supplied power. The first and second generators respectively generate power when a first and second shaft rotate. A first and second geartrain respectively connect to the first and second motors, the first and second generators, and the crankshaft to transmit power to a first and second wheel.

    FAST SCREENING OF HYDRAULIC FRACTURE AND RESERVOIR MODELS CONDITIONED TO PRODUCTION DATA

    公开(公告)号:US20240141781A1

    公开(公告)日:2024-05-02

    申请号:US18050904

    申请日:2022-10-28

    Inventor: Harun Ates

    CPC classification number: E21B49/087 E21B43/16 E21B43/2607 E21B2200/20

    Abstract: A method involves obtaining a measured drainage function for a well and obtaining a set of drainage models, wherein each drainage model includes a reservoir model and a fracture model. The method also includes, for each drainage model, forming a predicted drainage function based, at least in part, on the drainage model, and determining a misfit value based, at least in part, on the predicted drainage function and the measured drainage function. The method further includes determining a set of candidate drainage models based, at least in part, on the misfit value for each drainage model, wherein each candidate drainage model comprises a candidate reservoir model and a candidate fracture model.

    METHOD AND MATERIAL TO REDUCE ACID-CARBONATE REACTION RATE BY ENDOTHERMIC REACTION

    公开(公告)号:US20240093083A1

    公开(公告)日:2024-03-21

    申请号:US18521781

    申请日:2023-11-28

    CPC classification number: C09K8/528 C09K8/36 C09K8/92 C09K23/18 C09K23/52

    Abstract: Well treatment fluids may include solid particles comprising one or more components selected from the group consisting of urea, ammonium nitrate, ammonium chloride, barium hydroxide, and ammonium thiocyanate. These well treatment fluids may also include a carrier fluid, which may be an aqueous polymeric fluid, an oil, or combinations thereof. The aqueous polymeric fluid may include a polymer selected from the group consisting of guar gum, hydroxypropyl guar, carboxymethyl hydroxypropyl guar, cellulose, or polyacrylamide. The oil may include a material selected from the group consisting of diesel, mineral oil, and wax. Methods for reducing an acid carbonate reaction in a carbonate formation may include pumping a composition of solid particles into a formation; releasing the solid particles from the capsules or emulsion within the formation; and injecting an acid following the releasing step or during pumping, wherein the acid carbonate reaction is carried out at a reduced reaction rate.

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