Abstract: Defining flow control device configurable positions include executing a reservoir simulator on a reservoir model to obtain a collection of flow control device settings defined in continuous space. For each number of multiple numbers of clusters, a cluster analysis is individually performed on the collection to obtain a set of flow control device configurable positions. The set includes the number of flow control device configurable positions and its corresponding inflow area or diameter. Performing the cluster analysis across the numbers generates multiple sets for the multiple numbers of clusters. The sets of flow control device configurable positions are compared to obtain a selected set of flow control device configurable positions, which is presented in a completion design.

Abstract: A drilling system includes machines, process sensors, and a drilling ECU. Each machine has machine sensor which senses an operating state and an operating range with a lower and upper limit. Each process sensor has a process sensor value and a process range with a lower and upper limit. The drilling ECU includes a data processing apparatus and a memory. The memory includes a process model with expected values of the process sensors as a function of a drilling depth, and a reservoir model with geological data. The drilling ECU receives the process sensor value and the operating state, calculates first differences between the process sensor values and the upper limit and/or the lower limit of the process range, calculates second differences between the operating state and the upper limit and/or lower limit of the operating range, and displays the first and second differences on a drilling screen.

Abstract: A process mimicking forward modeler with deposition and erosion at each specific geological time step. The 3D derived properties are high resolution depositional environments and rock properties that are used to generate multiscale labelled synthetic data. These synthetic data can range from 1D logs such as grain size, gamma ray, density, and velocity, to 3D synthetic seismic, and are used directly as training data for various AIML applications.

Abstract: A method of modelling one of a plurality of hydrocarbon production wells, wherein each production well is associated with at least one control point in a flow path associated therewith. The method comprises: (i) generating a first model capable of describing for any one of the first plurality of production wells a relationship between flow parameters, well parameters and/or an associated status of the at least one control point, wherein the first model is parameterised by a set of first parameters representative of properties common to all of the first plurality of production wells. The model can be applied to estimate well parameters, flow parameters and/or the status of control points. In addition, the resultant models can be used to optimise production of the production well.

Abstract: An apparatus includes a pressure sensor for measuring a pressure in a wellbore of a formation, a processor communicably coupled with the pressure sensor, and a machine-readable medium. The machine-readable medium has program code executable by the processor to cause the apparatus to obtain a set of measurements with the pressure sensor, determine an effective wellbore compressibility coefficient based on the set of measurements, and determine an effective wellbore diameter based on an initial wellbore diameter and the effective wellbore compressibility coefficient.

Abstract: Methods (and related apparatus) include obtaining data regarding a measured property. The measured property includes an amount of each of predetermined hydrocarbons in a gas sample extracted from drilling fluid exiting a wellbore having a hydrocarbon resource. An unknown characteristic of an investigated fluid property of the hydrocarbon resource is predicted utilizing the obtained input data and one or more predetermined models each built via statistical classification and regression analysis of a preexisting database containing records. Each record includes known characteristics of fluid properties of a different one of known reservoir fluids. The fluid properties include the investigated fluid property and the measured property. The investigated fluid property includes a fluid type of the hydrocarbon resource, an amount of at least one additional hydrocarbon, gas-oil ratio, or stock tank oil density.

Abstract: Permeability in earth models has three components: natural fracture, distinctive matrix permeability and porosity correlated matrix permeability. While matrix permeability is usually predictable from porosity and diagenesis effects, fracture permeability can be a highly uncertain parameter. The earth model permeability components are calibrated by determining fracture distribution and estimating fracture properties through an iterative optimization process. The calibration proceeds iteratively until the current estimate of calculated reservoir flow capacity is within acceptable accuracy limits to reservoir flow capacity indicated from production logging tool measurements.

Abstract: A method includes acquiring a core sample from a first reservoir of interest that is producing hydrocarbons at a first recovery rate. The method includes performing a coreflooding study using a core flood apparatus. The coreflooding study includes a plurality of coreflooding simulations using the core sample disposed in the core flood apparatus. The method includes performing a reservoir simulation study on the first reservoir using a coreflooding simulation model and using the coreflooding study. The method includes adjusting a core flood fluid based on the reservoir simulation study to form an adjusted treatment fluid that produces a second recovery rate from the first reservoir. The second recovery rate may be greater than the first recovery rate. The method includes using an injection well and the adjusted treatment fluid for performing an injection operation of a reservoir.

Abstract: A method may include obtaining acquired drilling parameter data regarding a drilling parameter in real-time during a drilling operation for a predetermined well. The method may include determining, based on a drilling cost model, first drilling cost data using the acquired drilling parameter data. The method may include determining whether the first drilling cost data satisfies a predetermined criterion. The method may include determining, in response determining that the first drilling cost data fails to satisfy the predetermined criterion, a replacement component for the drilling operation. The method may include determining, based on the drilling cost model, second drilling cost data based on using the replacement component for the drilling operation. The method may include transmitting a command to update the drilling operation by changing a drilling system to use the replacement component in response to determining that the second drilling cost data satisfies the predetermined criterion.

Abstract: A method may include obtaining fracture image data regarding a geological region of interest. The method may further include determining various fractures in the fracture image data using a first artificial neural network and a pixel-searching process. The method may further include determining a fracture model using the fractures, a second artificial neural network, and borehole image data. The method may further include determining various fracture permeability values using the fracture model and a third artificial neural network. The method may further include determining various matrix permeability values for the geological region of interest using core sample data. The method may further include generating a coarsened grid model for the geological region of interest using a fourth artificial neural network, the matrix permeability values, and the fracture permeability values.

Abstract: A device configured to perform data analytics comprising a memory and a processor may be configured to perform the techniques described in this disclosure. The memory may store multi-dimensional data. The processor may receive a sequence of inputs defining a recipe for analyzing the multi-dimensional data according to a language sub-surface specifying a natural language containment hierarchy defining a grammar for a natural language as a hierarchical arrangement of a plurality of language sub-surfaces. The processor may also receive data indicative of a summarized narration of the recipe and parameterize a field of the summarized narration to insert a user adjustable parameter that enables manipulation of the underlying recipe and obtain a parameterized summary that includes the user adjustable parameter. The processor may next present, via a first user interface, the parameterized summary.

Abstract: Systems and methods are provided for determining and presenting field view history-matched well quality data. In one embodiment, a method includes receiving well data for a plurality of wells and performing a plurality of functional operations including a trend operation to determine well groups using pattern recognition of well time lapse pressure trends, the trend operation configured to identify at least one connected reservoir region (CRR), a geo-probe integration operation configured to integrate data for each CRR and evaluate a three-dimensional (3D) static model for wells; a history match advisor operation to generate a combined display of time dependent and depth dependent representation of the well data; a spatio-temporal operation configured to generate a space and time visualization of the well data; a front operation configured to track simulated injected fluid front; and an insight operation configured to report static changes between a well field model and history match model.

Abstract: A method of developing a predictive model for sand production from a wellbore includes receiving an indication of sand ingress at one or more production zones within a first wellbore using a sand monitoring system disposed within the first wellbore, detecting, using a pressure monitoring system, a pressure within the first wellbore while producing the one or more fluids and detecting the sand ingress, determining one or more geophysical properties of the one or more production zones of the first wellbore, and determining a model that correlates sand ingress at each of the one or more production zones with a plurality of variables. The sand ingress occurs while producing one or more fluids from the first wellbore.

Abstract: Embodiments of methods, systems, and computer-readable media for coupling two or more simulators to simulate a coupled multi-physics model of a subsurface formation are provided. A coupling framework loads one or more simulators as shared libraries into a common process and a common memory space with a first simulator to create the coupled multi-physics model of the subsurface formation. During simulation, the coupling framework controls data exchange between the first simulator and the other simulator(s) through the common memory space and controls execution of the first simulator and the other simulator(s) responsive to the common process. In the event of two-way coupling, the coupling framework can receive feedback from the other simulator(s) and alter execution of the first simulator. In the event of grid misalignment, the coupling framework can map data between the first simulator and the other simulator(s) such as in a globally conservative (e.g., mass, energy, etc.) manner.

Abstract: The system may project and prioritize remediation timelines and costs, such that owners may prioritize spend across a portfolio of contaminated properties to maximize the overall effect of contamination remediation efforts, and to increase the likelihood of regulatory acceptance of proposed remediation strategies. The system may include a method for developing, an extreme event risk score based on operational environment data, legislative environment data and a data environment; determining a remediation score based on harm reduction data, cost data, sustainability data, resiliency data, the extreme event risk score and the data environment; determining a remediated risk score based on an initial risk score and the remediation score; determining a risk rating pre-remediation based on the initial risk score and an information depth score; and determining the risk rating post-remediation based on the remediated risk score and the information depth score.

Abstract: Embodiments disclosed herein generally relate to a method and a system to generate well trajectories. A computing device receives one or more parameters associated with a target well in a target location. The computing device receives two or more data points for the target well in the target location. The computing device generates a modified wellbore path based on the one or more parameters associated with a target well and the two or more data points via a trained wellbore prediction model. The computing device compares the modified wellbore path for the target well to one or more wellbore paths of one or more wells co-located with the target well in the target location. The computing device updates the modified wellbore path for the target well by adjusting one or more coordinates of the modified wellbore path based on the comparison. The computing device generates a three-dimensional model of the target location.

Abstract: Systems and methods for identifying natural hydrogen sweet spots in a subsurface formation include obtaining rock samples from the subsurface formation; performing pyrolysis of the rock samples to determine an amount of hydrogen generated in the rock samples; determining kinetic parameters based on the performed pyrolysis and a thermal history of the subsurface formation; simulating hydrogen generation in the subsurface formation based on the determined kinetic parameters and the thermal history to predict target maturity data for hydrogen richness in the subsurface formation; measuring total organic content and rock sample maturity data for the rock samples; and identifying hydrogen sweet spots in the subsurface formation based on the target maturity data, the total organic content, and the measured rock sample maturity data.

Abstract: This invention presents a projection embedded discrete fracture model integrating a TPFA and MFD hybrid approach, creating a pEDFM framework for various anisotropic two-phase flow situations. It specifies the distribution of extra pressure freedoms on matrix grids for MFD implementation, maintains f-f connections in TPFA through a standard pEDFM workflow, and introduces a low-conductivity fracture treatment for MFD. It also outlines the derivation of numerical flux calculation formulas for effective m-m and m-f connections. The mixed TPFA-MFD design applies to numerical flux estimation across both K-orthogonal and non-K-orthogonal grids, enhancing computational efficiency and facilitating the spatial discretization of continuity equations for matrix and fracture grids under anisotropic permeability conditions.

Abstract: A method for the controlled delivery of a fracturing fluid to a well bore comprises formulating an aqueous base fluid such that it meets or exhibits desired physical and chemical characteristics for an optimal fracturing fluid. The formulation of the aqueous base fluid max involve commingling one or more sources of waste water with a source of fresh water followed by controlled injection of one or more additives. This process is substantially completed prior to delivering the aqueous base fluid to the well site. This allows the delivery of an optimal volume of the aqueous base fluid with homogeneously blended additives to the well bore.

Abstract: A method includes receiving seismic data related to a subterranean formation. The method also includes receiving a selection of a property of the subterranean formation that is permitted to vary during a simulation of a model of the subterranean formation. The method also includes simulating fluid flow in the model of the subterranean formation based at least partially on the seismic data, and the selected property. The method also includes generating an updated model based at least partially upon a result of simulating the fluid flow in the model.

Abstract: Systems and techniques are provided for performing semantic image segmentation using a machine learning system (e.g., including one or more cross-attention transformer layers). For instance, a process can include generating one or more input image features for a frame of image data and generating one or more input depth features for a frame of depth data. One or more fused image features can be determined, at least in part, by fusing the one or more input depth features with the one or more input image features, using a first cross-attention transformer network. One or more segmentation masks can be generated for the frame of image data based on the one or more fused image features.

Abstract: A correction method for a microseism interpretation fracturing fracture parameter result. The method includes classifying the communication modes of a block sampling fractured wells to be corrected according to the matching degree of micro seismic monitoring result and sand adding amount; correcting the volume coefficient of each said classified fractured well single well, and the volume correction coefficient Bv of each said fractured well is: B v = [ L 5 / 4 ? H ] T [ L 5 / 4 ? H ] W , wherein, [L5/4H]W is a calculation value of a micro seismic monitoring interpretation result; [L5/4H]T is a theoretical calculation value obtained by using field construction parameters; C, calculating the classification volume correction coefficient of each class of fractured wells according to the calculated single well volume correction coefficient of each said fractured well.

Abstract: Methods and systems for evaluating hydrocarbon in heterogeneous formations are disclosed. The use of three-dimensional simulation of the heterogeneous and porous structure at the nanometer scale of formation facilitates more accurate evaluation of the hydrocarbon reserve and fluid behavior.

Abstract: Computer-implemented methods can include providing a numerical simulation mesh comprising a plurality of nodes and performing a numerical simulation of a solid material using the mesh and a user-selectable transition threshold associated with a cohesive zone model traction-separation relation. Additional computer-implemented methods can include performing a numerical simulation of a solid material using a numerical simulation mesh comprising a plurality of nodes, wherein the numerical simulation includes a transition threshold associated with a cohesive zone model traction-separation relation, and comparing local material states including a strain state of the mesh to the transition threshold during the performing the numerical simulation to determine whether to dynamically insert cohesive elements in the finite element mesh.

Abstract: A computer system generates a virtual three-dimensional (3D) model of a hydrocarbon reservoir using a machine learning algorithm. The machine learning algorithm is trained using information obtained from multiple hydrocarbon wells. The virtual 3D model includes a reservoir pressure model of the hydrocarbon reservoir indicating variations in reservoir pressure in accordance with time. A fluid saturation model of the hydrocarbon reservoir indicates variations in reservoir saturation in accordance with time. The computer system executes the machine learning algorithm to determine the variations in the reservoir pressure and the variations in the reservoir saturation with respect to the multiple hydrocarbon wells based on the virtual 3D model. A display device of the computer system generates a graphical representation of the variations in the reservoir pressure and the variations in the reservoir saturation in accordance with time.

Abstract: Methods for modeling and simulating fractured subterranean volumes include a method including obtaining geological data representing a subterranean volume, generating a structural model thereof in depositional space and in structural space. The method includes selecting a first cell and a second cell in the model, the first and second cells being juxtaposed in geological space and defining a fault face where the first and second cells are intersected by a fault, identifying a first point on the fault face, and calculating slip curves. Respective slip curves originate at the point and extend across the fault in geological space to a respective second point of a plurality of second points. The second points are co-located with the first point in the depositional space. The method includes calculating fault rock properties at the first point based on the slip curves and adjusting the model to include the fault rock properties.

Abstract: In one embodiment, material points are received that cover at least a portion of an element of a background mesh that describes a continuum of soil, rock and/or groundwater. MPM-based geotechnical analysis and simulation is conducted at least in part by performing a numerical integration over the material points to produce a system matrix and right-hand side vector. The numerical integration applies hierarchical shape functions to the material points. The MPM-based geotechnical analysis and simulation also may subtract out contributions of any lower-order polynomials from higher-order polynomials of the hierarchical shape functions when interpolating one or more state variables for the material points to the background mesh. The MPM-based geotechnical analysis and simulation also may subtract out contributions any lower-order polynomials from higher-order polynomials of the hierarchical shape functions when calculating one or more boundary conditions for the material points.

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: 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: 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: 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: 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: 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: 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: 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: 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: 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: 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: 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.