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    COMPOSITIONAL RESERVOIR SIMULATION
    471.
    发明公开
    COMPOSITIONAL RESERVOIR SIMULATION 审中-公开

    公开(公告)号：US20230169237A1

    公开(公告)日：2023-06-01

    申请号：US17919433

    申请日：2021-04-16

    Applicant: Chevron U.S.A. Inc. ,  Schlumberger Technology Corporation

    Inventor： Seong Hee Lee ,  Matei Tene ,  Song Du ,  Xian-Huan Wen ,  Yalchin Efendiev

    IPC: G06F30/23 ,  E21B43/16

    CPC classification number: G06F30/23 ,  E21B43/16 ,  E21B2200/20 ,  G06F2111/10

    Abstract: Embodiments of conservative, sequential fully implicit compositional reservoir simulation are disclosed where 1) pressure, 2) saturation, 3) component balance, and 4) phase equilibrium are computed sequentially to solve for movement of liquid and gas phases over a series of time-steps until convergence to represent fluid flow within the subterranean reservoir. All molecular components in each of the liquid and gas phases are fixed to move with an equivalent phase velocity. Thermodynamic fluxes are accounted for when computing phase equilibrium by computing a difference between fluid volume and pore volume. A hybrid upwinding scheme can be employed to reorder cells based on upwind direction to improve the saturation convergence, especially when phase equilibrium significantly alters the cell properties. The conservative, sequential fully implicit compositional reservoir simulation embodiments can be implemented in a multiscale finite volume formulation as it lends itself to modular programming design and provides natural physical interpretation.

    Circular economy for plastic waste to polyethylene via oil refinery with filtering and metal oxide treatment of pyrolysis oil
    474.
    发明授权
    Circular economy for plastic waste to polyethylene via oil refinery with filtering and metal oxide treatment of pyrolysis oil 有权

    公开(公告)号：US11639472B2

    公开(公告)日：2023-05-02

    申请号：US17237592

    申请日：2021-04-22

    Applicant: Chevron U.S.A. Inc.

    Inventor： Hye-Kyung Timken

    IPC: C10B53/07 ,  C10G31/06 ,  C10G31/09 ,  C10G45/26 ,  C10G57/02

    Abstract: Provided in one embodiment is a continuous process for converting waste plastic comprising polyethylene and/or polypropylene into recycle for polyethylene polymerization. The process comprises selecting waste plastics containing polyethylene, polypropylene, or a mixture thereof, and passing the waste plastics through a pyrolysis reactor to thermally crack at least a portion of the polyolefin waste and produce a pyrolyzed effluent. The pyrolyzed effluent is separated into offgas, a pyrolysis oil comprising a naphtha, diesel and heavy fractions, and char. The pyrolysis oil, or at least a fraction, is passed to a filtration/metal oxide treatment, with the treated product passed to a refinery FCC unit. A liquid petroleum gas C3 olefin/paraffin mixture fraction is recovered from the FCC unit, as well as a C4 olefin/paraffin mixture fraction. The liquid petroleum gas C3 olefin/paraffin mixture fraction is passed to a steam cracker for ethylene production.

    METHOD AND SYSTEM FOR MACHINE LEARNING AND PREDICTIVE ANALYTICS OF FRACTURE DRIVEN INTERACTIONS
    476.
    发明申请
    METHOD AND SYSTEM FOR MACHINE LEARNING AND PREDICTIVE ANALYTICS OF FRACTURE DRIVEN INTERACTIONS 有权

    公开(公告)号：US20230097426A1

    公开(公告)日：2023-03-30

    申请号：US17936737

    申请日：2022-09-29

    Applicant: Chevron U.S.A. Inc.

    Inventor： Jianlei Sun ,  Brandon Francis Hruby ,  Cory Layne Miller ,  Arvind Reddy Battula

    IPC: G06N3/08 ,  G06N3/04

    Abstract: A computing system includes a machine learning algorithm executing a machine learning model to predict a probability of a fracture driven interaction associated with a hydrocarbon well. The machine learning algorithm trains the machine learning model using well treatment pumping data, offset well production data, and well stage data. Feature extraction is performed on the pumping data, production data, and well stage data to produce a machine learning model that is used to predict the probability of a fracture driven interaction. The resulting machine learning model can be deployed for use in ongoing hydraulic fracturing operations to predict and reduce real-time fracture driven interactions.

    PRODUCTION OF LOW PERMEABILITY GEOTHERMAL RESOURCES
    478.
    发明申请
    PRODUCTION OF LOW PERMEABILITY GEOTHERMAL RESOURCES 有权

    公开(公告)号：US20230083056A1

    公开(公告)日：2023-03-16

    申请号：US17943978

    申请日：2022-09-13

    Applicant: Chevron U.S.A. Inc.

    Inventor： Jorge Arturo Acuna Cespedes ,  Anil Kumar Ambastha ,  Carla Kathryn Dee Co

    IPC: E21B49/08

    Abstract: A method for collecting a heated fluid from a fractured subterranean formation can include removing a fluid having a liquid phase from the fractured subterranean formation through a wellbore that is in fluidic communication with the fractured subterranean formation. The method can also include collecting from the wellbore the heated fluid having a vapor phase that is expelled from a low permeability rock matrix of the fractured subterranean formation. The method can also optionally include injecting an injection fluid having the liquid phase into the low permeability rock matrix of the fractured subterranean formation through the wellbore when a parameter falls outside a range of acceptable values.

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