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公开(公告)号:US20240344447A1
公开(公告)日:2024-10-17
申请号:US18631756
申请日:2024-04-10
Applicant: XECTA INTELLIGENT PRODUCTION SERVICES
Inventor: Sathish Sankaran , Hardikkumar Zalavadia , Utkarsh Sinha
IPC: E21B47/06
CPC classification number: E21B47/06 , E21B2200/20
Abstract: A method of forecasting production using an artificial lift operation in a well penetrating a reservoir in a subterranean formation, comprising: receiving sensor feedback from the well during well production; receiving a flowrate of oil, gas, and water for the well; calculating average reservoir pressure and productivity index (PI) of the well based on a cumulative liquid rate; estimating reservoir deliverability based on the PI and average reservoir pressure; estimating well deliverability, based on one or more artificial lift parameters; estimating a bottomhole pressure (BHP) of the well based, at least in part, on the estimated reservoir deliverability and well deliverability; generating a multiphase forecast of an estimated liquid, gas, water, and oil production of the well, based, at least in part, on the estimated BHP and the sensor feedback; and producing fluids from the well based on the estimated liquid, gas, water, and oil production of the well.
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公开(公告)号:US20230342413A1
公开(公告)日:2023-10-26
申请号:US18092971
申请日:2023-01-04
Applicant: XECTA INTELLIGENT PRODUCTION SERVICES
Inventor: Sathish Sankaran , Wenyue Sun , Masahiro Nagao
IPC: G06F30/28
CPC classification number: G06F30/28
Abstract: A method of determining average reservoir pressure for a subterranean formation is provided. The method includes shutting in a well in the subterranean formation; measuring a plurality of buildup pressures during a period of time wherein the well is shut in via a downhole pressure gauge; performing an eigen expansion of the plurality of buildup pressures to generate a plurality of eigenvalues; determining an estimated average reservoir pressure based, at least in part, on the plurality of eigenvalues; and producing fluids from the well based, at least in part, on the estimated average reservoir pressure.
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公开(公告)号:US20240410271A1
公开(公告)日:2024-12-12
申请号:US18680148
申请日:2024-05-31
Applicant: XECTA INTELLIGENT PRODUCTION SERVICES
Inventor: Sathish Sankaran , Utkarsh Sinha , Prithvi Singh Chauhan , Hardikkumar Zalavadia
Abstract: A method of detecting one or more well interference events at a well penetrating a reservoir in a subterranean formation is provided. The method includes: receiving wellhead pressure and flowrates of oil, gas, and water for the well during production; calculating a bottom hole pressure (BHP) of the well based on the wellhead pressure and flowrate of oil, gas, and water; calculating an average reservoir pressure based at least on the BHP; determining a productivity index (PI) for the well for a plurality of time steps based at least on the average reservoir pressure; determining a dataset of PI values and corresponding cumulative fluid production values from the well; analyzing the dataset to determine one or more breakpoints in a relationship between PI and cumulative fluid production representing one or more well interference events; and producing fluids from the reservoir based at least on the one or more breakpoints.
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公开(公告)号:US11972183B2
公开(公告)日:2024-04-30
申请号:US17979493
申请日:2022-11-02
Applicant: Xecta Intelligent Production Services
Inventor: Sathish Sankaran , Diego Molinari , Wenyue Sun , Sanjay Paranji
IPC: E21B41/00 , E21B47/003 , E21B47/06 , E21B49/08 , G06F30/28 , E21B43/12 , E21B43/267 , G06F113/08
CPC classification number: G06F30/28 , E21B41/00 , E21B47/003 , E21B47/06 , E21B49/0875 , E21B43/121 , E21B43/267 , E21B2200/20 , G06F2113/08
Abstract: Fluid flow dynamics modeling methods and system are provided. In some embodiments, such methods include determining a bottomhole pressure for the unconventional reservoir based, at least in part, on a tubing head pressure for one or more wells penetrating at least a portion of the unconventional reservoir, one or more fluid properties of a fluid in the unconventional reservoir, and a well production volume for the one or more wells; determining a Productivity Index (PI) for the unconventional reservoir, based, at least in part, on the one or more fluid properties and measured well data for the one or more wells, wherein the measured well data includes a well production rate and a well flowing pressure; and determining a fluid depletion of the unconventional reservoir based, at least in part, on the bottomhole pressure and the PI.
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公开(公告)号:US20220147674A1
公开(公告)日:2022-05-12
申请号:US17396231
申请日:2021-08-06
Applicant: XECTA INTELLIGENT PRODUCTION SERVICES
Inventor: Sathish Sankaran , Wenyue Sun , Sanjay Paranji
Abstract: Fluid flow dynamics modeling methods and system are provided. In some embodiments, such methods include providing an initial fluid system model including a plurality of nodes, each node characterized by one or more node fluid system parameters; and a plurality of edges between two of the plurality of nodes, each edge characterized by one or more edge fluid system parameters; and using the initial fluid system model, determining an updated fluid system model using a history-matching process.
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公开(公告)号:US20240386169A1
公开(公告)日:2024-11-21
申请号:US18663520
申请日:2024-05-14
Applicant: XECTA INTELLIGENT PRODUCTION SERVICES
Inventor: Sathish Sankaran , Hardikkumar Zalavadia , Utkarsh Sinha , Prithvi Singh Chauhan
IPC: G06F30/28
Abstract: A method of forecasting production of a well penetrating a reservoir in a subterranean formation, including: receiving a plurality of bottomhole pressures for the well; receiving a plurality of flowrates for the well; determining rate normalized pressure (RNP) data for the well over a period of time based on the plurality of bottomhole pressure and the plurality of flowrates; performing a sparse identification of nonlinear dynamics (SINDy) analysis on the RNP data to identify a relationship between flowrate and bottomhole pressure for the well, wherein the SINDy analysis is based on a plurality of physics features; providing a forecast of future production for the well based on the identified relationship between flowrate and bottomhole pressure for the well; and producing fluids from the reservoir based, at least in part, on the forecast of future production.
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公开(公告)号:US20240384639A1
公开(公告)日:2024-11-21
申请号:US18666509
申请日:2024-05-16
Applicant: XECTA INTELLIGENT PRODUCTION SERVICES
Inventor: Sathish Sankaran , Zhenyu Guo , Masahiro Nagao
Abstract: A method of modeling pressure and flux within an integrated network of multiple wells, including: measuring reservoir pressures at each well; measuring a separator pressure at the separator; receiving or generating a model of the integrated network, the model including a node representing the separator, at least one node representing each well, and pressure constraints at the separator and each well; dividing the model into a plurality of subnetworks; performing an alternating direction method of multipliers (ADMM) optimization by iteratively solving a plurality of optimization equations each corresponding to a different subnetwork; determining a pressure at each node and a flux between each of the nodes in the model based on the optimization; and producing fluids from the network of multiple wells based on the determined pressures and fluxes in the model.
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公开(公告)号:US11767750B1
公开(公告)日:2023-09-26
申请号:US18076921
申请日:2022-12-07
Applicant: XECTA INTELLIGENT PRODUCTION SERVICES
Inventor: Sathish Sankaran , Hardikkumar Zalavadia , Utkarsh Sinha
IPC: E21B47/008 , G01V99/00 , E21B47/07
CPC classification number: E21B47/008 , E21B47/07 , G01V99/005 , E21B2200/20
Abstract: An apparatus for estimating a gas-oil ratio for a well in an unconventional reservoir comprises a processor associated with a control system. The processor is configured to determine a bottomhole pressure for the well. The processor is further configured to determine one or more pressure, volume, and temperature (PVT) properties associated with fluid flow and to determine transient well performance. The processor is further configured to determine a Productivity Index (PI) for the well for a plurality of time steps and to determine an inflection point. The processor is further configured to estimate the gas-oil ratio of the well after the inflection point based on the determined transient well performance and to perform the fluid production rate forecast based on the determined PI. The processor is further configured to apply the fluid production rate forecast to the estimated gas-oil ratio to determine an instantaneous gas-oil ratio.
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公开(公告)号:US20230059014A1
公开(公告)日:2023-02-23
申请号:US17979493
申请日:2022-11-02
Applicant: Xecta Intelligent Production Services
Inventor: Sathish Sankaran , Diego Molinari , Wenyue Sun , Sanjay Paranji
IPC: G06F30/28 , E21B41/00 , E21B47/003 , E21B47/06 , E21B49/08 , E21B43/12 , E21B43/267 , G06F113/08
Abstract: Fluid flow dynamics modeling methods and system are provided. In some embodiments, such methods include determining a bottomhole pressure for the unconventional reservoir based, at least in part, on a tubing head pressure for one or more wells penetrating at least a portion of the unconventional reservoir, one or more fluid properties of a fluid in the unconventional reservoir, and a well production volume for the one or more wells; determining a Productivity Index (PI) for the unconventional reservoir, based, at least in part, on the one or more fluid properties and measured well data for the one or more wells, wherein the measured well data includes a well production rate and a well flowing pressure; and determining a fluid depletion of the unconventional reservoir based, at least in part, on the bottomhole pressure and the PI.
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公开(公告)号:US11514216B1
公开(公告)日:2022-11-29
申请号:US17566329
申请日:2021-12-30
Applicant: Xecta Intelligent Production Services
Inventor: Sathish Sankaran , Diego Molinari , Wenyue Sun , Sanjay Paranji
IPC: E21B41/00 , G06F30/28 , E21B47/06 , E21B49/08 , E21B47/003 , G06F113/08 , E21B43/12 , E21B43/267
Abstract: Fluid flow dynamics modeling methods and system are provided. In some embodiments, such methods include determining a bottomhole pressure for the unconventional reservoir based, at least in part, on a tubing head pressure for one or more wells penetrating at least a portion of the unconventional reservoir, one or more fluid properties of a fluid in the unconventional reservoir, and a well production volume for the one or more wells; determining a Productivity Index (PI) for the unconventional reservoir, based, at least in part, on the one or more fluid properties and measured well data for the one or more wells, wherein the measured well data includes a well production rate and a well flowing pressure; and determining a fluid depletion of the unconventional reservoir based, at least in part, on the bottomhole pressure and the PI.
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