MULTIVARIATE STATISTICAL METHOD FOR CONTAMINATION PREDICTION USING MULTIPLE SENSORS

    公开(公告)号:US20210131951A1

    公开(公告)日:2021-05-06

    申请号:US16473964

    申请日:2018-01-31

    Abstract: Disclosed are systems and methods for performing a contamination estimation of a downhole sample comprising at least a formation fluid and a filtrate. A plurality of downhole signals are obtained from the downhole sample and one or more of the signals are conditioned. At least two of the conditioned signals or downhole signals are fused into a multivariate dataset. A principle component analysis (PCA) is performed on the fused multivariate dataset to determine optical and density properties of the formation fluid. Based on at least the PCA, optical and density properties of the filtrate are determined. From the optical and density properties of the formation fluid and of the filtrate, a multivariate calculation is performed to generate concentration profiles of the formation fluid and the filtrate.

    AUTOMATED SELF-CORRECTION OF LOGGING DEPTH BY USING MULTIPLE SENSORS

    公开(公告)号:US20230243634A1

    公开(公告)日:2023-08-03

    申请号:US17589015

    申请日:2022-01-31

    CPC classification number: G01B5/18 G01V1/46 G01V1/50

    Abstract: The subject disclosure relates to techniques for correcting logging depth of a well bore. A process of the disclosed technology can include receiving a first sensor measurement from a first sensor disposed in a wellbore, receiving a second sensor measurement from a second sensor disposed in the wellbore, wherein the first sensor and the second sensor are disposed on a wireline with a predetermined distance between the first sensor and the second sensor, generating a correlation function based on the first sensor measurement and the second measurement, and determining, based on the correlation function, whether the measurements indicate a perceived distance between the first sensor and the second sensor deviating from the predetermined distance.

    DUAL INTEGRATED COMPUTATIONAL ELEMENT DEVICE AND METHOD FOR FABRICATING THE SAME

    公开(公告)号:US20180356557A1

    公开(公告)日:2018-12-13

    申请号:US15528752

    申请日:2016-09-22

    CPC classification number: G01V8/02 E21B44/00 E21B49/08

    Abstract: A device including at least two ICEs that optically interact with a sample light to generate a first and a second modified lights is provided. The at least two ICEs include alternating layers of material, each of the layers having a thickness selected such that the weighted linear combination of the transmission functions is similar to the regression vector associated with a characteristic of the sample. The device may also include a detector that measures a property of the first and second modified lights separately to generate a first and second signal, respectively, wherein the weighted average of first and second signals is linearly related to the characteristic of the sample. A method for fabricating the above device is also provided.

    FORMATION PERMEABILITY ANISOTROPY MEASUREMENT BY INJECTING THEN PUMPING OF INJECTION FLUID

    公开(公告)号:US20250052153A1

    公开(公告)日:2025-02-13

    申请号:US18232046

    申请日:2023-08-09

    Abstract: Aspects of the subject technology relate to systems, methods, and computer readable media for determining permeability anisotropy of a formation. A formation tester can be set at a location within a wellbore. A plurality of probes can be set into a formation at the location. A tracer solution can be injected into the formation. A fluid can be continuously withdrawn from the formation over a time interval through at least one of the plurality of probes. The fluid can comprise a volume of the tracer solution into the formation. A changing concentration of the tracer solution that is withdrawn from the formation over the time interval can be measured based on the volume of the tracer solution that is withdrawn from the formation over the time interval. A permeability anisotropy of the formation can be determined based on the changing concentration of the tracer solution.

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