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公开(公告)号：US11555795B2
公开(公告)日：2023-01-17
申请号：US17402657
申请日：2021-08-16
Inventor： Mahmoud Elsayed , Ammar El-Husseiny , Mohamed Mahmoud , Karem Al-Garadi
Abstract: A method for predicting formation permeability by measuring diffusional tortuosity in several directions by pulse gradient NMR. The method comprises evaluating an anisotropic diffusion coefficient by pulsed gradient NMR, determining diffusional tortuosity from the restricted diffusion data, supplementing the NMR results with resistivity and sonic logging data, measuring anisotropic tortuosity and porosity by resistivity and sonic data and combining all components in a single fitting model. The 11-coefficient model is trained to recognize the true values of permeability by comparing the real oil permeabilities measured. in a library of oil-carrying rock cores with the NMR, resistivity and sonic correlates The fitting coefficients are extracted by minimizing the discrepancy between the laboratory measured permeabilities and the predicted values combining all rapid logging information components with the agreement-maximizing weights.
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公开(公告)号：US11493462B2
公开(公告)日：2022-11-08
申请号：US17402659
申请日：2021-08-16
Inventor： Mahmoud Elsayed , Ammar El-Husseiny , Mohamed Mahmoud , Karem Al-Garadi
Abstract: A method for predicting formation permeability by measuring diffusional tortuosity in several directions by pulse gradient NMR. The method comprises evaluating an anisotropic diffusion coefficient by pulsed gradient NMR, determining diffusional tortuosity from the restricted diffusion data, supplementing the NMR results with resistivity and sonic logging data, measuring anisotropic tortuosity and porosity by resistivity and sonic data and combining all components in a single fitting model. The 11-coefficient model is trained to recognize the true values of permeability by comparing the real oil permeabilities measured in a library of oil-carrying rock cores with the NMR, resistivity and sonic correlates. The fitting coefficients are extracted by minimizing the discrepancy between the laboratory measured permeabilities and the predicted values combining all rapid logging information components with the agreement-maximizing weights.
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公开(公告)号：US20220065095A1
公开(公告)日：2022-03-03
申请号：US17002267
申请日：2020-08-25
Inventor： Hyung Tae Kwak , Mahmoud Elsayed , Ammar El-Husseiny , Mohamed Mahmoud
IPC: E21B47/002 , E21B47/26
Abstract: A fracture geometry mapping method includes determining a value of a diffusive tortuosity in a first direction in a first rock sample from a subterranean formation with one or more hardware processors; determining a value of a diffusive tortuosity in a second direction in the first rock sample from the subterranean formation with the one or more hardware processors, the second direction orthogonal to the first direction in the first rock sample; determining a value of a diffusive tortuosity in third direction in the first rock sample from the subterranean formation with the one or more hardware processors, the third direction orthogonal to both the first direction and the second direction in the first rock sample; comparing the values of the diffusive tortuosities in the in the first direction, the second direction, and the third direction; and based on the comparison, generating a first fracture network map of the subterranean formation, the first fracture network map including a first plurality of anisotropic fracture pathways.
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公开(公告)号：US11371335B2
公开(公告)日：2022-06-28
申请号：US17002267
申请日：2020-08-25
Inventor： Hyung Tae Kwak , Mahmoud Elsayed , Ammar El-Husseiny , Mohamed Mahmoud
Abstract: A fracture geometry mapping method includes determining a value of a diffusive tortuosity in a first direction in a first rock sample from a subterranean formation with one or more hardware processors; determining a value of a diffusive tortuosity in a second direction in the first rock sample from the subterranean formation with the one or more hardware processors, the second direction orthogonal to the first direction in the first rock sample; determining a value of a diffusive tortuosity in third direction in the first rock sample from the subterranean formation with the one or more hardware processors, the third direction orthogonal to both the first direction and the second direction in the first rock sample; comparing the values of the diffusive tortuosities in the in the first direction, the second direction, and the third direction; and based on the comparison, generating a first fracture network map of the subterranean formation, the first fracture network map including a first plurality of anisotropic fracture pathways.
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公开(公告)号：US11143607B2
公开(公告)日：2021-10-12
申请号：US16818467
申请日：2020-03-13
Inventor： Mahmoud Elsayed , Ammar El-Husseiny , Mohamed Mahmoud , Karem Al-Garadi
Abstract: A method for predicting formation permeability by measuring diffusional tortuosity in several directions by pulse gradient NMR. The method comprises evaluating an anisotropic diffusion coefficient by pulsed gradient NMR, determining diffusional tortuosity from the restricted diffusion data, supplementing the NMR results with resistivity and sonic logging data, measuring anisotropic tortuosity and porosity by resistivity and sonic data and combining all components in a single fitting model. The 11-coefficient model is trained to recognize the true values of permeability by comparing the real oil permeabilities measured in a library of oil-carrying rock cores with the NMR, resistivity and sonic correlates. The fitting coefficients are extracted by minimizing the discrepancy between the laboratory measured permeabilities and the predicted values combining all rapid logging information components with the agreement-maximizing weights.
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Patent Agency Ranking
公开(公告)号：US11525792B2
公开(公告)日：2022-12-13
申请号：US17402662
申请日：2021-08-16
Inventor： Mahmoud Elsayed , Ammar El-Husseiny , Mohamed Mahmoud , Karem Al-Garadi
Abstract: A method for predicting formation permeability by measuring diffusional tortuosity in several directions by pulse gradient NMR. The method comprises evaluating an anisotropic diffusion coefficient by pulsed gradient NMR, determining diffusional tortuosity from the restricted diffusion data, supplementing the NMR results with resistivity and sonic logging data, measuring anisotropic tortuosity and porosity by resistivity and sonic data and combining all components in a single fitting model. The 11-coefficient model is trained to recognize the true values of permeability by comparing the real oil permeabilities measured in a library of oil-carrying rock cores with the NMR, resistivity and sonic correlates. The fitting coefficients are extracted by minimizing the discrepancy between the laboratory measured permeabilities and the predicted values combining all rapid logging information components with the agreement-maximizing weights.
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公开(公告)号：US11299986B2
公开(公告)日：2022-04-12
申请号：US16779923
申请日：2020-02-03
Inventor： Mahmoud Elsayed , Mohamed Mahmoud , Ammar El-Husseiny , Muhammad Shahzad Kamal , Karem Al-Garadi
Abstract: A method for assessing an optimal acid injection rate in the process of hydrocarbon formation stimulation. The method comprises evaluating an anisotropic diffusion coefficient by pulsed gradient NMR, introduction of a semi-empirical correction based on comparison of the downhole conditions with the library of laboratory experiments where such corrections were measured, extrapolation of the library data to the real downhole conditions. The improved values of the diffusion coefficients are applied in determining wormhole regime conditions that are optimal in terms of acid consumption per a unit of stimulated yield of the hydrocarbon.
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公开(公告)号：US11543370B2
公开(公告)日：2023-01-03
申请号：US17402666
申请日：2021-08-16
Inventor： Mahmoud Elsayed , Ammar El-Husseiny , Mohamed Mahmoud , Karem Al-Garadi
Abstract: A method for predicting formation permeability by measuring diffusional tortuosity in several directions by pulse gradient NMR. The method comprises evaluating an anisotropic diffusion coefficient by pulsed gradient NMR, determining diffusional tortuosity from the restricted diffusion data, supplementing the NMR results with resistivity and sonic logging data, measuring anisotropic tortuosity and porosity by resistivity and sonic data and combining all components in a single fitting model. The 11-coefficient model is trained to recognize the true values of permeability by comparing the real oil permeabilities measured in a library of oil-carrying rock cores with the NMR, resistivity and sonic correlates. The fitting coefficients are extracted by minimizing the discrepancy between the laboratory measured permeabilities and the predicted values combining all rapid logging information components with the agreement-maximizing weights.
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公开(公告)号：US11543369B2
公开(公告)日：2023-01-03
申请号：US17402660
申请日：2021-08-16
Inventor： Mahmoud Elsayed , Ammar El-Husseiny , Mohamed Mahmoud , Karem Al-Garadi
Abstract: A method for predicting formation permeability by measuring diffusional tortuosity in several directions by pulse gradient NMR. The method comprises evaluating an anisotropic diffusion coefficient by pulsed gradient NMR, determining diffusional tortuosity from the restricted diffusion data, supplementing the NMR results with resistivity and sonic logging data, measuring anisotropic tortuosity and porosity by resistivity and sonic data and combining all components in a single fitting model. The 11-coefficient model is trained to recognize the true values of permeability by comparing the real oil permeabilities measured in a library of oil-carrying rock cores with the NMR, resistivity and sonic correlates. The fitting coefficients are extracted by minimizing the discrepancy between the laboratory measured permeabilities and the predicted values combining all rapid logging information components with the agreement-maximizing weights.
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公开(公告)号：US11131186B1
公开(公告)日：2021-09-28
申请号：US16808833
申请日：2020-03-04
Inventor： Karem Al-Garadi , Ammar El-Husseiny , Mohamed Mahmoud , Mahmoud Elsayed
Abstract: A method for rapid wettability evaluation during exploratory drilling of a hydrocarbon. The method include pre-saturation of the sample by a brine, measuring the bulk brine's T2 NMR relaxation parameter, expelling the brine by oil in the sample, measuring the oil's bulk and pore T2 NMR relaxation parameter, measuring the brine's non-reducible content and T2 NMR relaxation parameter of water in the presence of dominant oil content, expelling the oil by the brine and measuring the T2 NMR relaxation parameter of the irreducible oil content in the dominant brine. The measurements are combined in the index: I=[(T2WB−T2WIOIRR)/T2WB]−[(T2OB−T2OIWIRR)/T2OB], where WB is water bulk, OB is oil bulk, WIOIRR—injected pore water at the irreducible oil content, OIWIRR—injected pore oil at the irreducible water content.
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