Automated self-correction of logging depth by using multiple sensors

    公开(公告)号:US12092450B2

    公开(公告)日:2024-09-17

    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.

    Extraordinary IR-absorption in SiO
    33.
    发明授权

    公开(公告)号:US12085504B2

    公开(公告)日:2024-09-10

    申请号:US16973279

    申请日:2018-07-18

    Abstract: An optical element may be fabricated by applying foreign or attenuating material, for example, a copper material or a material that includes copper, to a silicon dioxide thin film to form a layer that exhibits extraordinary optical absorption in the infrared wavelength region of at or about 2500-4700 nanometers. The foreign material may comprise or include a transition metal. The optical element exhibits increased accuracy and sensitivity in the infrared wavelength region of at or about 2500-4700 nanometers. The at or about 2500-4700 nanometers absorption property of the optical element can be selectively tuned to any region within this at or about 2500-4700 nanometers wavelength region. The optical element may comprise multiple layers of varying thicknesses to further tune the optical element to one or more spectral bands. Such an optical element may be utilized in a formation fluid analysis tool or an eye protection device.

    Determination of mud-filtrate contamination and clean formation fluid properties

    公开(公告)号:US11946368B2

    公开(公告)日:2024-04-02

    申请号:US18083176

    申请日:2022-12-16

    CPC classification number: E21B49/005 E21B49/0875

    Abstract: A system to determine a contamination level of a formation fluid, the system including a formation tester tool to be positioned in a borehole, wherein the borehole has a mixture of the formation fluid and a drilling fluid and the formation tester tool includes a sensor to detect time series measurements from a plurality of sensor channels. The system includes a processor to dimensionally reduce the time series measurements to generate a set of reduced measurement scores in a multi-dimensional measurement space and determine an end member in the multi-dimensional measurement space based on the set of reduced measurement scores, wherein the end member comprises a position in the multi-dimensional measurement space that corresponds with a predetermined fluid concentration. The processor also determines the contamination level of the formation fluid at a time point based the set of reduced measurement scores and the end member.

    System and methods for downhole property measurement

    公开(公告)号:US11879330B2

    公开(公告)日:2024-01-23

    申请号:US17852137

    申请日:2022-06-28

    CPC classification number: E21B49/0875 E21B49/088 G01N21/21 G01N21/31 G01N21/80

    Abstract: Embodiments of a device, system and method are disclosed herein. In one embodiment, a device comprises a sample cell configured to interact a fluid sample with an ion selective substrate to modify an optical characteristic of the ion selective substrate according to an ion concentration of the fluid sample, wherein the sample cell is also configured to optically interact an illumination light with the ion selective substrate to generate a sample light; an optical element configured to interact with the sample light to provide a modified light that has a property of the fluid sample; and a detector that receives the modified light and provides an electrical signal proportional to the property of the fluid sample indicated by the modified light; and wherein the ion selective substrate comprises a membrane, the membrane configured to change an optical property in a selected wavelength range, according to the property of the fluid sample.

    Radiometric modeling for optical identification of sample materials

    公开(公告)号:US11822033B2

    公开(公告)日:2023-11-21

    申请号:US16715835

    申请日:2019-12-16

    CPC classification number: G01V13/00

    Abstract: Methods and systems for implementing and utilizing radiometric characterization in combination with reference material characterization of an optical sensor to more accurately and efficiently measure material properties are disclosed. In some embodiments, a method for for optically measuring material properties includes an optical sensor being radiometrically characterized based on measured optical responses. A model is generated and includes model components of the optical sensor. A parameterized model is generated by fitting n variable parameters of the model components using the optical responses. The optical sensor is utilized to measure an optical response to a reference material and a re-parameterized model is generated by re-fitting m of the n variable parameters of the model components based, at least in part, on the measured optical response to the reference material, wherein m is less than n.

    OPTICAL SENSOR ADAPTIVE CALIBRATION

    公开(公告)号:US20220404521A1

    公开(公告)日:2022-12-22

    申请号:US17899282

    申请日:2022-08-30

    Abstract: A method comprises determining an adaptive fluid predictive model calibrated with a plurality of types of sensor data, wherein the plurality of types of sensor responses comprise a first type of sensor response associated with a synthetic parameter space and a second type of sensor response associated with a tool parameter space. The method comprises applying the adaptive fluid predictive model to one or more fluid samples from field measurements obtained from a tool deployed in a wellbore formed in a subterranean formation and determining a value of a fluid answer product prediction with the applied adaptive fluid predictive model. The method comprises facilitating a wellbore operation with the tool based on the value of the fluid answer product prediction.

    Predicting Clean Fluid Composition And Properties With A Rapid Formation Tester Pumpout

    公开(公告)号:US20220275724A1

    公开(公告)日:2022-09-01

    申请号:US17746637

    申请日:2022-05-17

    Abstract: A method and system for estimating clean fluid composition and properties. A method may comprise disposing a downhole fluid sampling tool into a wellbore, wherein the downhole fluid sampling tool comprises optical instrumentation, obtaining a fluid sample with the downhole fluid sampling tool, wherein the fluid sample comprises a reservoir fluid contaminated with a well fluid, identifying input parameters from at least one sensor response on the optical instrumentation, and predicting a clean fluid sample of the reservoir fluid using an asymptote of a dimensional reduction analysis and equation of state. A system may comprise a downhole fluid sampling tool and a processing unit. The downhole fluid sampling tool may further comprise an optical instrumentation operable to obtain fluid samples of a reservoir fluid contaminated with a well fluid while the downhole fluid sampling tool is disposed in a wellbore.

    Dual-sensor tool optical data processing through master sensor standardization

    公开(公告)号:US11366247B2

    公开(公告)日:2022-06-21

    申请号:US16935042

    申请日:2020-07-21

    Abstract: A method may include transforming optical responses for a fluid sample to a parameter space of a downhole tool. The optical responses are obtained using a first operational sensor and a second operational sensor of the downhole tool. Fluid models are applied in the parameter space of the downhole tool to the transformed optical responses to obtain density predictions of the fluid sample. The density predictions of the first operational sensor are matched to the density predictions of the second operational sensor based on optical parameters of the fluid models to obtain matched density predictions. A difference between the matched density predictions and measurements obtained from a densitometer is calculated, and a contamination index is estimated based on the difference.

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