Abstract: Systems and methods are disclosed for generating subsurface property data as a function of position and time. Exemplary implementations may include obtaining a first initial subsurface property model and a first set of subsurface property parameters, obtaining training input data and a first training subsurface property dataset, generating a first conditioned subsurface property model, and storing the first conditioned subsurface property model.

Abstract: A method, apparatus and system is provided for assessing risk for well completion, comprising: obtaining, using an input interface, a Below Rotary Table hours and a plurality of well-field parameters for one or more planned runs, determining, using at least one processor, one or more non-productive time values that correspond to the one or more planned runs based upon the well-field parameters, developing, using at least one processor, a non-productive time distribution and a Below Rotary Table distribution via one or more Monte Carlo trials; and outputting, using a graphic display, a risk transfer model results based on a total BRT hours from the Below Rotary Table and the non-productive time distribution produced from the one or more Monte Carlo trials.

Abstract: A computer-implemented method that enables lithofacies guided core description using unsupervised machine learning is described herein. The method includes obtaining well log curves for a wells in a zone. The method also includes predicting lithofacies for the wells using a machine learning model. The machine learning model is trained with input data comprising additional well log curves and well cores. The method includes grouping the wells based on the predicted lithofacies, and updating core descriptions of the wells based on the grouped wells.

Abstract: A system and method that include receiving an oilfield operational plan and converting the oilfield operational plan into pixel-grids that are interpreted as images. The system and method also include inputting the pixel-grids to an image analysis convolution neural network to execute an image interpretation process. The system and method additionally include determining a current state of the oilfield operational plan based on the image interpretation process. The system and method further include determining a next state of the oilfield operational plan.

Abstract: Method and systems are provided for building a structural model of the subsurface. The method may comprise obtaining discretized data that includes surfaces, polylines, points, or combinations thereof. The surfaces in the discretized data are segmented by other surfaces to form a number of segments. Each of the segments are fit to an implicit function. The implicit function for each of the segments is thresholded to create a number of implicit surfaces. The implicit surfaces are intersected to create a number of model surfaces. The structural model is then constructed from the model surfaces.

Abstract: A system can include an individual workspace well design application that includes a graphical user interface that includes selectable graphical elements corresponding to subsystems of a wellsite system and graphical alert elements; a collaborative workspace well design application operatively coupled to the individual workspace well design application; and well design evaluators operatively coupled to the individual workspace well design application and the collaborative workspace well design application where the evaluators receive and analyze design parameters associated with one or more subsystems of a wellsite system to control transmission of one or more alerts that activate one or more graphical alert elements of the individual workspace well design application.

Abstract: Using production data and a production flow record based on the production data, a deep neural network (DNN) is trained to model a proxy flow simulation of a reservoir. The proxy flow simulation of the reservoir is performed, using an ensemble Kalman filter (EnKF), based on the trained DNN. The EnKF assimilates new data through updating a current ensemble to obtain history matching by minimizing a difference between a predicted production output from the proxy flow simulation and measured production data from a field. Using the updated current ensemble, a second proxy flow simulation of the reservoir is performed based on the trained DNN. The assimilating and the performing are repeated while new data is available for assimilating. Predicted behavior of the reservoir is determined based on the proxy flow simulation of the reservoir. An indication of the predicted behavior is provided to facilitate production of fluids from the reservoir.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for receiving, by a neural network (NN), a dataset for generating features from the dataset. A first set of features is computed from the dataset using at least a feature layer of the NN. The first set of features i) is characterized by a measure of informativeness; and ii) is computed such that a size of the first set of features is compressible into a second set of features that is smaller in size than the first set of features and that has a same measure of informativeness as the measure of informativeness of the first set of features. The second set of features if generated from the first set of features using a compression method that compresses the first set of features to generate the second set of features.

Abstract: Provided is a method for analyzing oil film multi-field coupling characteristics of series friction pairs of an axial piston pump in the disclosure. According to the disclosure, based on an oil film independent analysis model of macro structures, motion states and heterogeneities of service conditions of three major friction pairs of the axial piston pair, surface microstructures of the friction pairs is introduced, and a solid-liquid-thermal multi-field coupling analysis method of the friction pairs is proposed for macro information interaction. Finally, a coupling solution of the oil film bearing characteristics of the multi-friction pairs of the system is realized by the multi-scale and multi-degree-of-freedom hydraulic-dynamic global coupling method.

Abstract: Aspects of the disclosure provide for a method using clusters of sonic peaks from a logging tool to generate a log of an acoustic property of the formation as a function of depth.

Abstract: The methods disclosed herein are directed to an automated method for monitoring performance of a well in a hydrocarbon reservoir for continuous monitoring of well test production data for a plurality of well system performance parameters, trending actual performance parameter deviations from a well system model, and determining most probable root cause(s) of the performance parameter deviations based on the trend of the deviations of a plurality of parameters for an outflow component of a well performance model and a plurality of parameters inflow component of a well performance model. The method automatically notifies an operator of detected root causes of the performance degradation, and further may perform corrective action in the well system based on at least one root cause of the deviation determined by the well performance model.

Abstract: A method includes installing a measurement device on the injection wellhead, injecting a fluid into the injection well at a plurality of injection rates using a computer processor, measuring an injection bottom hole pressure at each injection rate to determine a plurality of injection bottom hole pressures using the computer processor, determining a relationship between the plurality of injection rates and the plurality of injection bottom hole pressures using the computer processor, and determining an injectivity index of the injection well using the relationship and the computer processor.

Abstract: Methods, systems, computer program products for determining the source of activity during interaction with a user interface are provided. The method comprises selecting one or more input devices from a plurality of available input devices coupled to the user interface and receiving respective measurements for the selected one or more input devices. Based on the received respective measurements, respective feature vectors for the one or more input devices are generated and then inputted to a pre-defined regression model. Then, the source of activity is determined based on a result received from the regression model.

Abstract: A computer-implemented method includes receiving a test seismic dataset associated with a known truth interpretation, receiving one or more hard constraints, training a machine learning system based on the test seismic dataset, the known truth interpretation, and the one or more hard constraints, determining an error value based on the training the machine learning system, adjusting the error value based on one or more soft constraints, updating the training of the machine learning system based on the adjusted error value, receiving a second seismic dataset after the updating the training; applying the second seismic dataset to the machine learning system to generate an interpretation of the second seismic dataset, generating a seismic image representing a subterranean domain based on the interpretation of the second seismic dataset, and outputting the seismic image.

Abstract: The disclosure presents processes to determine one or more recommendations to well construction operations, generated by analyzing impacts on well construction operations. The impacts can include impacts to the drilling assembly, impacts of the subterranean formation characteristics, impacts on cost, time and performance of the well construction operation, impacts on the service quality, impacts to system integrity, impacts to surface equipment, as well as other impact types, such as geological surveys, seismic surveys, stratigraphic analysis, or reservoir estimations. Each impact can be analyzed using an impact parameter and a softness parameter. An impact map can be computed for each of the parameters, and then the impact maps can be combined to compute one or more integrated impact maps from which the recommendations can be determined. The recommendations can be communicated to a well construction system, such as a geo-steering system, a user system, a well site controller, or other systems.

Abstract: Disclosed are methods of modelling a subsurface region. One method comprises defining a plurality of variables for describing said subsurface region, each variable having a corresponding, domain set neighbourhood set, and conflict set. The conflict set comprises conflict variables, which are previously assigned variable which reduces the domain set of its corresponding variable. The method comprises further sequentially performing for each variable: a) selecting an unassigned variable; b) assigning a value to the selected variable from its domain set; c) assessing whether a constraint is satisfied. The selected variable's corresponding conflict set is updated to include any previously assigned variables comprised within the selected variable's corresponding neighbourhood set when said constraint is assessed not to be satisfied at step c). Another method comprises foreseeing dead end variables before they are simulated.

Abstract: A method can include accessing a model of a subterranean region where the model includes a fault that corresponds to a fault in the subterranean region; via a first side of the fault, outwardly radiating therefrom cells of the model with a first type of radiation and, via a second, opposing side of the fault, outwardly radiating therefrom cells of the model with a second type of radiation; and, based at least in part on the outwardly radiating of the first type of radiation and the outwardly radiating of the second type of radiation, assigning a portion of the cells of the model a sidedness property value with respect to the fault that indicates that each cell in the portion of the cells is assigned to the first side of the fault or assigned to the second side of the fault.

Abstract: The present invention belongs to the technical field of petroleum exploitation engineering, and discloses a 3D modeling method for pore-filling hydrate sediment based on a CT image. Indoor remolding rock cores or in situ site rock cores without hydrate can be scanned by CT; a sediment matrix image stack and a pore image stack are obtained by gray threshold segmentation; then, a series of pore-filling hydrate image stacks with different saturations are constructed through image morphological processing of the pore image stack such as erosion, dilation and image subtraction operation; and a series of digital rock core image stacks of the pore-filling hydrate sediment with different saturations are formed through image subtraction operation and splicing operation to provide a relatively real 3D model for the numerical simulation work of the basic physical properties of a reservoir of natural gas hydrate.

Abstract: An industrial CAD system is supplemented with features that allow a developer to easily convert a mechanical CAD model of an automation system to a dynamic digital twin capable of simulation within a simulation platform, including simulation of fluid dynamics throughout the system. The features allow the user to label selected elements of a mechanical CAD drawing with “aspects” within the CAD environment, and to add fluid models representing fluids that travel through or are processed by the system. Based on these aspect labels and fluid models, the CAD platform transforms the mechanical CAD model into a dynamic digital twin that can be exported to a simulation and testing platform to facilitate simulation of both machine operation and fluid dynamics.

Abstract: A fracturing fluid may include an aqueous base fluid; a proppant material; and hydrophilic fibers having a length of about 250 microns to 10 millimeters. A method of performing a fracturing operation may include injecting a fracturing fluid comprising hydrophilic fibers having a length of about 250 microns to 10 millimeters and proppant into a wellbore.

Abstract: A method of determining waterflood residual oil saturation includes testing, in a laboratory multispeed centrifuge test, a reservoir core sample to obtain a set of average water saturation (Sw,avg) and imbibition capillary pressure (Pci) data points, applying a best-fit smoothing function to the data points to obtain a best-fit average saturation curve, converting the best-fit average saturation curve to an outlet-face saturation curve, applying a best-fit straight line to the outlet-face saturation curve associated with a substantially constant outlet water saturation and changing imbibition capillary pressure, and determining a waterflood residual oil saturation (Sorw) of the core sample. The waterflood residual oil saturation is associated with a point on the outlet-face saturation curve where the best-fit straight line deviates from the outlet-face saturation curve.

Abstract: A method for evaluating an integrity of a liner disposed in a wellbore, that contacts a formation through a cement layer between the liner and the formation, includes computing a stress on a boundary of the liner by an iteration procedure that implements an analytical solution of stresses on a liner-cement interface and a cement-formation interface using the geometric data, performing numerical simulations using the computational numerical model to calculate a magnitude and distribution of stresses acting on the liner-cement interface and the cement-formation interface, performing numerical simulations with the actual in-situ stresses to replace the mean in-situ stress on the outer boundary of formation layer to calculate magnitude and distribution of stresses acting on the liner-cement and cement-formation interfaces using the calibrated computational mesh and applying the calculated stresses acting on the liner to a liner integrity evaluation model to determine an integrity of the liner at a plurality of st

Abstract: A geomechanically integrated model of stimulated rock volume (SRV) of subsurface formations in an area of interest for hydrocarbon production is formed. The methodology for forming the model takes into account geomechanical effects of interest and potential significance which occur over different dimensional scales. The methodology incorporates into the model fault perturbations which are present at a regional or seismic scale of from hundreds to thousands of meters, as well as layer stress occurring at a much smaller hydraulic fracture simulation scale of fractions of meters or meters. The methodology accommodates the differing representations of the subsurface grids used in previous models to represent these different geomechanical effects. Complex grid meshing and computer processing are avoided, improving computer operation and saving computer processing time.

Abstract: A comprehensive geological-engineering classification evaluation method for low-permeability reservoirs, includes: constructing geological classification evaluation indexes of a reservoir: adopting gray correlation method to obtain main controlling factors of reservoir geology of the low-permeability reservoirs that affects fracturing effects; based on the main controlling factors of the reservoir geology, constructing the geological classification evaluation indexes of low-permeability reservoirs by principal component analysis; constructing engineering classification evaluation indexes of the reservoir: adopting gray correlation method to obtain main controlling factors of geomechanics of the low-permeability reservoirs that affects fracturing effects; based on the main controlling factors of geomechanics, constructing the engineering classification evaluation indexes of low-permeability reservoirs by an analytic hierarchy process; and according to classification limit values of the geological classificatio

Abstract: A method for history matching a reservoir model based on actual production data from the reservoir over time generates an ensemble of reservoir models using geological data representing petrophysical properties of a subterranean reservoir. Production data corresponding to a particular time instance is acquired from the subterranean reservoir. Normal score transformation is performed on the ensemble and on the acquired production data to transform respective original distributions into normal distributions. The generated ensemble is updated based on the transformed acquired production data using an ensemble Kalman filter (EnKF). The updated generated ensemble and the transformed acquired production data are transformed back to respective original distributions. Future reservoir behavior is predicted based on the updated ensemble.

Abstract: The present disclosure relates to a method and system for evaluating the macro resilience of offshore oil well control equipment. The method for evaluating the macro resilience of offshore oil well control equipment comprises six steps: determining the type and strength of external disaster; calculating the failure rate of components; calculating the recovery rate of the components; modeling the BN for a degradation process; modeling the BN for a maintenance process; and calculating the resilience of the offshore oil well control equipment. A system for evaluating the macro resilience of offshore oil well control equipment comprises an external disaster evaluation module, a component failure rate calculation subsystem, a reliability degradation process simulation module, a fault identification module, a component recovery rate calculation module, a reliability recovery process simulation module, a reliability change curve derivation unit and an resilience calculation unit.

Abstract: Disclosed are methods, systems, and computer-readable medium to perform operations including: generating, based on production data for a wellbore, (i) a water-oil-ratio with respect to time (WOR) dataset for the wellbore, (ii) a time-derivative dataset (WOR?) of the WOR dataset; generating a WOR log-log plot of the WOR dataset and a WOR? log-log plot of the WOR? dataset; identifying at least one trend in the WOR log-log plot and the WOR? log-log plot; determining, based on the at least one identified trend, a first type of water breakthrough; generating, based on pressure data from a build-up pressure test in the wellbore, a log-log plot of time-derivative pressure data with respect to time (P?); determining, based on the P? log-log plot, a second type of water breakthrough; correlating the first and second type of water breakthrough; and determining, based on the correlation, whether to perform a water treatment for the wellbore.

Abstract: Various computer-implemented methods for utilizing a modified upper confidence bound (UCB) in an agent-simulator environment in well placement planning for oil fields are disclosed herein. A set of well placement sequences for placing well in a geographical region may be received, where each well placement sequent defines a sequence of multiple oil wells to be placed within the geographical region. A computer-implemented simulation may be executed on each of the well placement sequences to determine, for each of the well placement sequences, a reward based upon a calculated hydrocarbon recovery and a cost of the calculated hydrocarbon recovery. The well placement sequences may be iteratively selected for the computer-implemented simulations using the modified UCB algorithm and based upon the rewards determined for each of the plurality of well placement sequences.

Abstract: A method includes receiving first data and building a first model of a well based at least partially upon the first data. The method also includes receiving second data and building a second model including a network of flowlines based at least partially upon the second data. At least one of the flowlines is connected to the well. The method also includes combining the first model and the second model to produce a combined model. The method also includes calibrating the combined model to produce a calibrated model. Calibrating the combined model includes receiving measured data, miming a simulation of the combined model to produce simulated results, and adjusting a calibration parameter to cause the simulated results to match the measured data. The calibration parameter includes a productivity index of a fluid flowing out of the well. The method also includes updating the calibrated model to produce an updated model.

Abstract: A method can include receiving realizations of a model of a reservoir that includes at least one well where the realizations represent uncertainty in a multidimensional space; selecting a portion of the realizations in a reduced dimensional space to preserve an amount of the uncertainty; optimizing an objective function based at least in part on the selected portion of the realizations; outputting parameter values for the optimized objective function; and generating at least a portion of a field operations plan based at least in part on at least a portion of the parameter values.

Abstract: A method may include obtaining a selection of various user-defined coarsening parameters. The user-defined coarsening parameters may include a predetermined fine-grid region in a geological region of interest and a predetermined cell distance. The method may further include determining an area of interest (AOI) mask for the geological region of interest based on the predetermined fine-grid region. The method may further include determining a geological property mask based on the user-defined coarsening parameters. The geological property mask may correspond to a predetermined geological feature within the predetermined cell distance from the AOI mask. The method may further include generating a coarsened grid model using grid model data and well data for the geological region of interest. The method may further include performing a reservoir simulation of the geological region of interest using the coarsened grid model.

Abstract: Embodiments of the present disclosure relate to a method of exploiting underground resources with a negative thixotropic fluid, which induces the fault or the fracture to slip by replacing a conventional mode of injecting water with a mode of injecting the negative thixotropic fluid. According to the negative thixotropy of the injected fluid, when the fault or the fracture does not slip, viscosity of the negative thixotropic fluid is low, and the negative thixotropic fluid could flow in the fracture network. When the fault or the fracture slips, a great shear strain rate is generated, such that the viscosity of the negative thixotropic fluid is rapidly increased with the shear strain rate, to generate a great resistance force, thereby preventing the fault from further slipping.

Abstract: A comprehensive three-dimensional exploitation experimental system for large-scale and full-sized exploitation wells includes a reactor, configured to prepare a natural gas hydrate sample, for simulating an environment for forming a natural gas hydrate reservoir in seafloor sediments. The reactor includes a reactor body, an upper cover disposed at an upper surface of the reactor body, and a lower cover disposed at a lower surface of the reactor body; a gas introducing module, configured to introduce gas to the reactor during hydrate formation; a liquid introducing module, configured to introduce liquid to the reactor during hydrate formation; a temperature regulating module, configured to regulate a temperature in the reactor; a data collecting-processing-displaying module, configured to collect, store, process and display data of the comprehensive three-dimensional exploitation experimental system during an experiment.

Abstract: A method may include obtaining a real-time petrophysical data derived from a plurality of well logs during drilling and utilizing the real-time petrophysical data to quantify a formation damage profile using a resistivity tornado chart and a wellbore modeling. The method further includes utilizing the resistivity tornado chart to determine a depth of invasion inside a formation at each depth in a wellbore by using ratios between different resistivity logs obtained while drilling and creating a synthetic wellbore model by using a fluid flow equation for the wellbore modeling and calculating a time-specific invasion profile to determine a condition at a flowback time. The method further includes performing a computational fluid dynamics investigation in order to identify invaded fluid flow characteristics from the formation to the wellbore and calculating a duration needed to flowback an obtained invaded volume for removal of the formation damage based on a fluid flow behavior.

Abstract: Computer-implemented stratigraphic play quality generation is disclosed. Stratigraphic data can be processed from each of a plurality of respective data sources to generate conditioned stratigraphic data. From at least some of the conditioned stratigraphic data, attributes of at least one seismic sequence can be extracted, and at least one seismic surface and at least one structural element associated with at least some of the conditioned stratigraphic data can be determined. At least some of the conditioned stratigraphic data representing sedimentary layers can be correlated with seismic reflection data to ascertain a subsurface of the geologic area at a respective depth. Reservoir properties associated with the geologic area are linked to elastic properties, and a 2D model built. Moreover, 3D map can be generated that is usable for a prospective drilling plan.

Abstract: A method of increasing hydrocarbon recovery from a wellbore in a tight formation with greater breakdown pressures, the method including using hydro-jetting to effect a plurality of oriented cavities or discoidal grooves in the horizontal portion of the wellbore to overcome near-wellbore stresses, injecting a thermally controlled fluid into the wellbore to alter the temperature of the formation and lower stresses, and then fracturing the formation to generate a series of fractures that can be formed in a planar formation.

Abstract: A system is described for estimating well production and injection rates of a subterranean reservoir using machine learning models. The system may include a processor and a non-transitory computer-readable medium comprising instructions that are executable by the processor to cause the processor to perform various operations. The processor may receive a set of static geological data about at least one subterranean reservoir in a subterranean formation. The processor may apply a trained convolutional neural network to the set of static geological data and data on initial states of dynamic reservoir properties to determine dynamic outputs of the subterranean reservoir. The processor may determine well data by extracting the set of static geological data and the dynamic outputs at well trajectories. And, the processor may apply a trained artificial neural network to the well data and subterranean grid information about the subterranean reservoir to generate estimated well production and injection rates.

Abstract: Systems and methods for evaluating simulation models are disclosed. In one embodiment, a method of evaluating a simulation model of a hydrocarbon field includes merging simulated reservoir data and actual reservoir data to generate merged reservoir data, and cross-linking the merged reservoir data with three-dimensional model data. The method further includes calculating one or more surface metrics from at least one of the merged reservoir data and the three-dimensional model data, calculating one or more subsurface metrics from at least one of the merged reservoir data and the three-dimensional model data, and calculating one or more overall history match indicators, one or more surface history match indicators, and one or more subsurface history match indicators from the one or more surface metrics, the one or more subsurface metrics, and the three-dimensional model data.

Abstract: Disclosed are methods, systems, and computer-readable medium to perform operations including: receiving, by a computing device, parameters of the fractured well, wherein the fractured well comprises a wellbore and one or more hydraulic fractures extending from the wellbore; generating, by the computing device and based on the parameters of the fractured well, an equivalent complex well that represents the fractured well; and executing, by the computing device and using the equivalent complex well, a simulation that simulates the performance of the fractured well.

Abstract: A computerized method for management of a slurry injection well and the associated surface facility. The method utilizes real time and historical data of injection and slurry parameters in conjunction with computer simulations on a computer-modelled reservoir to predict well behavior during one or a series of injection events. The system determines optimized injection operation schedules, recommends and implements changes to an injection operation, including while in process such as through automated equipment control.

Abstract: A method for recording data relating to the performance of an oil and gas flow network uses statistical data to represent raw data in a compact form. Categories are assigned to time intervals in the data.

Abstract: The present disclosure provides a multi-scale three-dimensional (3D) engineering geological model construction system and method. A regional geological model of a target region, a site geological model of each engineering site, and a drilling geological model of each drilling well are constructed. The geological model of each drilling well is superimposed to the site geological model of the corresponding engineering site in the way of step-by-step superimposition, and the site geological model of each engineering site fused with the drilling geological model is superimposed to the regional geological model of the target region. Thus, multi-scale geological model fusion of drilling well, engineering site, and regional mountain is realized.

Abstract: Disclosed herein are self-aware, self-modifying, autonomous connection mechanisms. Exemplifying intelligent systems introduce some of the embodiments of the autonomous connection mechanism techniques.

Abstract: The present disclosure discloses a method for calculating a safe drilling fluid density in a fractured formation, including the following steps: S1, performing image processing to identify a downhole fracture; S2, establishing three-dimensional (3D) geological models based on parameters of the downhole fracture, and establishing a drilling wellbore model based on a size and length of a wellbore; S3, assigning the model with material parameters, boundary conditions, and upper and lower bounds of an initial drilling fluid density, and calculating accuracy; S4, solving the 3D geological models using a 3-dimension distinct element code (3DEC) and determining stability of a well wall; S5, determining upper and lower bounds of a drilling fluid density using dichotomy; S6, repeating steps S4 to S5; and S7, after set accuracy conditions are reached, saving and outputting the safe drilling fluid density.

Abstract: A computer receives a measured wetness of and a measured ?2H value associated with a test gas sample from a hydrocarbon formation. The measured wetness is a molar ratio of heavy gas compounds over a total gas within the measured sample. The computer receives calculated wetnesses calculated ?2H values associated with a gas samples taken from one or more analogous hydrocarbon reservoirs. The measured wetness received for the test gas sample is identified from among the plurality of calculated wetnesses. The computer determines a corresponding ?2H value from among the calculated ?2H values that corresponds to the measured wetness of the test gas sample. The computer determines a predicted sample VRo (vitrinite reflectance equivalent) for the test gas sample based on the corresponding ?2H value and a correlation of ?2H values to VRo values. Hydrocarbons are produced from the hydrocarbon formation based on the predicted sample VRo.

Abstract: The present invention relates to a system and method for modelling flow conditions in a well system, the well system being represented by a number of branches (1,1a) conducting hydrocarbons from at least one branch entry point (3,3a) to a branch exit point (2), at least one of said branches constituting a global well system exit point, wherein each branch has a branch entry point (3,3a) being provided with a least one flow inlet (4) and being related to known boundary conditions and with a input flow control unit (7) being related to adjustable flow characteristics for controlling the flow through said input, said boundary conditions including predetermined data concerning at least one of pressure, temperature and flow at said input flow control unit, and said branch conduit includes an branch flow control unit (6), having adjustable flow characteristics for controlling the flow through the branch.

Abstract: A global fluid identity repository is used to maintain and manage fluid characterization data for various fluids utilized in the oil & gas industry, e.g., reservoir fluids within subsurface formations. Tracking and notification services may be utilized to track changes made to a global fluid identity, e.g., changes in fluid sample and/or experiment data for a fluid, and automatically generate notifications when downstream data such as fluid models and/or simulation results become stale as a result of these changes.

Abstract: Systems, methods, and other embodiments are disclosed that are configured to segment customers using mixed attribute types. In one embodiment, a computerized data structure is read. The computerized data structure has numerical demographic attribute data, categorical demographic attribute data, and target attribute data that is associated with customers and is stored in a computerized memory. The numerical demographic attribute data and the categorical demographic attribute data are converted to a same numerical scale, based at least in part on the target attribute data, to form congruent attribute data in a format that is compatible with performing a cluster analysis on the congruent attribute data. The cluster analysis is performed on the congruent attribute data to generate segmented customer data representing a segmentation of the customers. The segmented customer data may be used to control at least one enterprise function performed by a computerized management system.

Abstract: A computer simulation analysis method suitable for describing the mechanical behavior of multiphase composites based on the real microstructure of materials relates to a multidisciplinary field such as computational material science, simulation and high throughput calculation. Through the first-principles calculation under nano scale, the molecular dynamics simulation under micro scale, and the thermodynamic calculation under mesoscopic scale, various physical parameters needed for the finite element simulation under macro scale can be obtained, including the elastic and plastic physical parameters of each phase in the composite at different temperature and different grain sizes. Focused ion beam experiment and image processing are adopted to obtain real material microstructure.

Abstract: An intelligent data management system leverages heterogeneous database technologies and cloud technology to manage data for reservoir simulations across the lifetime of a corresponding energy asset(s) and facilitates access of that data by various consumers despite changing compute platforms and adoption of open source paradigms. The intelligent data management system identifies the various data units that constitute a reservoir simulation output for storage and organization. The intelligent data management system organizes the constituent data units across a file system and object database based on correspondence with different simulation run attributes: project, study, and model. The intelligent data management system also learns to specify or guide configuration of simulation runs.