Abstract: A method including selecting candidate sensors for pooled calibration and determining a multivariate fluid characterization model with the pooled sensors is provided. The method includes determining a virtual master kernel standardization model with the pooled sensors, implementing a calibration result into a processor circuit and determining a value of a fluid characteristic by applying the multivariate fluid composition model to a plurality of responses obtained from a plurality of sensor responses to the fluid sample. The plurality of responses may be obtained from the plurality of sensor responses using the virtual master kernel standardization model. The method includes optimizing a wellbore operation based on the value of the fluid characteristic. A device for implementing the above method is also provided.

Abstract: Data converting method comprises: acquiring, from original image data, multiple pixel data sets each comprising pixel value of each real RGB pixel in two adjacent pixel rows among multiple pixel rows of original image displayed on real RGB display panel according to the original image data; determining BV3 pixel row corresponding to each pixel data set from multiple BV3 pixel rows in target BV3 image to be generated; for each pixel data set, determining effective sub-pixels from real RGB pixels associated with the pixel data set according to arrangement of BV3 pixels in the BV3 pixel row corresponding to the pixel data set; for each pixel data set, determining pixel value of each BV3 pixel in the BV3 pixel row corresponding to the pixel data set in the target BV3 image based on the pixel data set and pixel values of the effective sub-pixels determined for the pixel data set.

Abstract: A method of cross-tool optical fluid model validation includes selecting verified field data measured with a first sensor of an existing tool as validation fluids and selecting a second sensor for a new tool or on a different existing tool. The method may also include applying cross-tool optical data transformation to the validation fluids in a tool parameter space from the first sensor to the second sensor, and calculating the synthetic optical responses of the second sensor on the validation fluids through cross-space data transformation. The method may further include determining a new or adjusting an existing operational fluid model of the second sensor in a synthetic parameter space according to the candidate model performance evaluated on the validation fluids, and optimizing well testing and sampling operation based on real-time estimated formation fluid characteristics using the validated fluid models of the second sensor in an operating tool.

Abstract: A system includes an optical computing device having an optical multiplexer that receives a sample light generated by an optical interaction between a sample and an illumination light is provided. The system includes sensing elements that optically interact with the sample light to generate modified lights, and a detector that measures a property of the modified lights separately. Linear and nonlinear models for processing data collected with the above system to form high-resolution spectra are also provided. Methods for designing optimal optical multiplexers for optimal reconstruction of high-resolution spectra are also provided.

Abstract: A downhole formation fluid identification sensing module for measuring averaged gas molecular weight of wellbore formation fluid acquires simultaneous temperature, pressure, and density measurements. The sensing module includes two venturi-type gas sensors that both contain vibrating tubes. During operation, formation fluid flows through the vibrating tubes whereby resonant frequency measurements are acquired simultaneously with temperature and pressure measurements. Each measurement is then utilized to determine the gas molecular weight of the dry, wet or saturated formation fluid.

Abstract: A system includes an optical computing device having an optical multiplexer that receives a sample light generated by an optical interaction between a sample and an illumination light is provided. The system includes sensing elements that optically interact with the sample light to generate modified lights, and a detector that measures a property of the modified lights separately. Linear and nonlinear models for processing data collected with the above system to form high-resolution spectra are also provided. Methods for designing optimal optical multiplexers for optimal reconstruction of high-resolution spectra are also provided.

Abstract: Two or more Integrated Computational Element (“ICE”) structures are designed and utilized in an optical computing device to combinatorily reconstruct spectral patterns of a sample. To design the ICE structures, principal component analysis (“PCA”) loading vectors are derived from training spectra. Thereafter, two or more ICE structures having spectral patterns that match the PCA loading vectors are selected. The selected ICE structures may then be fabricated and integrated into an optical computing device. During operation, the ICE structures are used to reconstruct high resolution spectral data of the samples which is utilized to determine a variety of sample characteristics.

Abstract: Downhole tools for isolating and analyzing one or more gases include a gas separation assembly in fluid communication with a gas specific analyzer. The gas separation assembly includes a piston disposed within a housing and a separation volume defined between the piston and the housing. The piston is movable to separate a gas component and a liquid component from a downhole formation fluid within the separation volume. The gas specific analyzer is operable to measure one or more properties of the gas component. In some configurations, the gas specific analyzer is an optical assembly containing a light source, an optical detector, and a gas cell that contains an observation volume. The optical assembly is operable to measure one or more properties of the gas component within the observation volume via the light source and the optical detector.

Abstract: A method for designing an integrated computational element (ICE) includes generating an array of discrete data points and plotting the discrete data points across a predetermined wavelength region. A line shape is then generated that connects to and is constrained by the array of discrete data points, and thereby generates a first transmission function. The discrete data points are then iteratively modified based on one or more performance criteria to generate a second transmission function. A model transmission function corresponding to a model ICE design is then fitted to the second transmission function to identifying a predictive ICE design configured to detect a desired characteristic of interest.

Abstract: Fingerprints of data portions are distributed in a balanced manner across active controllers of a data storage system, and may be done so in such a manner that, when a new active controller is added to the system, fingerprint ownership and movement between pre-existing active controllers, and active controllers overall, is minimized When a new active controller is added to the system and fingerprints are redistributed, no fingerprint ownership may be re-assigned between pre-existing active controllers and no fingerprints may be moved between pre-existing active controllers, for example, between local memories of the active controller.

Abstract: System and methods for downhole fluid analysis are provided. Measurements are obtained from one or more downhole sensors along a current section of wellbore within a subsurface formation. The measurements obtained from the one or more downhole sensors are transformed into principal spectroscopy component (PSC) data. At least one fluid composition or property is estimated for the current section of the wellbore, based on the PSC data and a fluid analysis model. The fluid analysis model is refined for one or more subsequent sections of the wellbore within the subsurface formation, based at least partly on the fluid composition or property estimated for the current section of the wellbore.

Abstract: There is provided an association analysis method and apparatus. An original database is divided into projection databases, each not contributing to a support count of a frequent item set of another. The projection databases are used for sequential-pattern association analysis performed respectively by nodes corresponding to the projection databases. Local frequent item sets and corresponding support counts obtained by the nodes are combined. Since an established projection database does not contribute a support count of a frequent item set of another projection database, different nodes can perform association mining, including pruning, on different projection databases respectively.

Abstract: A display method, an image processing device, a display device, and a storage medium are provided. The display method includes: receiving first image information, and transforming the first image information into second image information. The first image information is image information to be displayed by a first pixel structure; the first pixel structure includes a plurality of first pixels which are arrayed, each of the first pixels includes three first sub-pixels sequentially provided along a first direction; all of the first sub-pixels are arranged into a plurality of rows extending along the first direction, and in a second direction different from the first direction, the first sub-pixels in adjacent rows are aligned with each other; the second image information is image information to be displayed by a BV3 pixel structure.

Abstract: An example formation fluid analysis tool includes an optical element and a detector configured to receive light passed through the optical element. The optical element is configured to receive light from a fluid sample and comprises a substrate, an integrated computational element (ICE) fabricated on a first side of the substrate, and an optical filter fabricated on a second side of the substrate opposite the first side.

Abstract: Data converting method comprises: acquiring, from original image data, multiple pixel data sets each comprising pixel value of each real RGB pixel in two adjacent pixel rows among multiple pixel rows of original image displayed on real RGB display panel according to the original image data; determining BV3 pixel row corresponding to each pixel data set from multiple BV3 pixel rows in target BV3 image to be generated; for each pixel data set, determining effective sub-pixels from real RGB pixels associated with the pixel data set according to arrangement of BV3 pixels in the BV3 pixel row corresponding to the pixel data set; for each pixel data set, determining pixel value of each BV3 pixel in the BV3 pixel row corresponding to the pixel data set in the target BV3 image based on the pixel data set and pixel values of the effective sub-pixels determined for the pixel data set.

Abstract: A system includes an optical computing device having an optical multiplexer that receives a sample light generated by an optical interaction between a sample and an illumination light is provided. The system includes sensing elements that optically interact with the sample light to generate modified lights, and a detector that measures a property of the modified lights separately. Linear and nonlinear models for processing data collected with the above system to form high-resolution spectra are also provided. Methods for designing optimal optical multiplexers for optimal reconstruction of high-resolution spectra are also provided.

Abstract: System and methods for downhole fluid classification are provided. Measurements are obtained from one or more downhole sensors located along a current section of wellbore within a subsurface formation. The measurements obtained from the one or more downhole sensors are transformed into principal spectroscopy component (PSC) data. One or more fluid types are identified for the current section of the wellbore within the subsurface formation, based on the PSC data and a fluid classification model. The fluid classification model is refined for one or more subsequent sections of the wellbore within the subsurface formation, based at least partly on the one or more fluid types identified for the current section of the wellbore.

Abstract: Embodiments of the present disclosure provide a method and system for training a model by using training data. The training data includes a plurality of samples, each sample includes N features, and features in the plurality of samples form N feature columns, and the method includes: determining an importance value of each of the N feature columns; determining whether the importance value of each of the N feature columns satisfies a threshold condition; performing a dimension reduction on M feature columns to generate P feature columns in response to the determination that the importance values of the M feature columns do not satisfy the threshold condition, wherein M<N and P<M; merging (N?M) feature columns having importance values that satisfy the threshold condition and the generated P feature columns to obtain (N?M+P) feature columns; and training the model based on the training data including the (N?M+P) feature columns.

Abstract: The present disclosure provides methods and an apparatuses for building a data identification model. One exemplary method for building a data identification model includes: performing logistic regression training using training samples to obtain a first model, the training samples comprising positive and negative samples; sampling the training samples proportionally to obtain a first training sample set; identifying the positive samples using the first model, and selecting a second training sample set from positive samples that have identification results after being identified using the first model; and performing Deep Neural Networks (DNN) training using the first training sample set and the second training sample set to obtain a final data identification model. The methods and the apparatuses of the present disclosure improve the stability of data identification models.

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.