Abstract: A method for determining a slips status during a drilling operation of a subterranean formation. The method includes capturing, using one or multiple camera devices mounted on a drilling rig of the drilling operation, a plurality of images, each of the plurality of images comprising a portion that corresponds to a slips device of the drilling rig, generating, using a sensor device of the drilling rig, a plurality of parameters of the drilling rig, wherein the plurality of parameters are synchronized with the plurality of images, providing, by a computer processor, the plurality of parameters as input to a machine learning model of the drilling rig, and analyzing, by the computer processor and based on the machine learning model, the plurality of images to generate the slips status.

Abstract: A method, system and device for comprehensively characterizing a lower limit of oil accumulation of a deep marine carbonate reservoir is provided, aiming to solve the problem that the prior art cannot: accurately determine the lower limit of oil accumulation of the deep marine carbonate reservoir, which leads to the difficulty in predicting and identifying deep effective reservoirs. The method includes: determining lower limit porosity and permeability for oil accumulation based on a boundary line; determining lower limit porosity and permeability for oil accumulation based on a movable oil ratio of a core sample; determining a lower limit pore throat radius for oil accumulation based on a mercury injection experiment; and comprehensively characterizing the lower limit of oil accumulation of a deep marine carbonate reservoir to be predicted. The method, system and device can predict and identify deep effective reservoirs.

Abstract: Fluid flow dynamics modeling methods and system are provided. In some embodiments, such methods include determining a bottomhole pressure for the unconventional reservoir based, at least in part, on a tubing head pressure for one or more wells penetrating at least a portion of the unconventional reservoir, one or more fluid properties of a fluid in the unconventional reservoir, and a well production volume for the one or more wells; determining a Productivity Index (PI) for the unconventional reservoir, based, at least in part, on the one or more fluid properties and measured well data for the one or more wells, wherein the measured well data includes a well production rate and a well flowing pressure; and determining a fluid depletion of the unconventional reservoir based, at least in part, on the bottomhole pressure and the PI.

Abstract: Systems and methods are disclosed for generating subsurface feature prediction probability distributions from a subsurface feature as a function of position in a subsurface volume of interest. For example, a computer-implemented method may include: obtaining subsurface data and well data, generating subsurface feature values, generating subsurface feature realizations, generating subsurface feature realization uncertainty values, generating subsurface parameter values, generating subsurface parameter realizations, generating subsurface feature prediction probability distributions, generating a first representation of likelihoods of the subsurface feature values, and displaying the first representation.

Abstract: A method for improved prediction and enhancement of hydrocarbon recovery from ultra-tight/unconventional reservoirs for both the primary production and any subsequent solvent huff‘n’puff periods based on facilitating the diffusion process may include steps of defining one or more initial properties of a reservoir and integrating characterization data of the reservoir; defining a wellbore trajectory for each of at least one well and one or more parameters associated with a completion/reservoir stimulation design; specifying operating conditions for a current development cycle; performing diffusion-based dynamic fracture/reservoir simulation for calculating hydrocarbon recovery and efficiency of a hydrocarbon process; and; determining whether to commence or continue enhanced oil recovery (EOR) or enhanced gas recovery (EGR) cycles.

Abstract: Disclosed are methods, systems, and computer-readable medium to perform operations including: capturing, using an image sensor directed at a drilling system, an image feed of movement of a component of the drilling system with respect to a vertical reference line; converting the image feed into a digital representation of the movement of the component, the digital representation including a number of offset pixels from the component to the vertical reference line in the image feed; converting the digital representation into a machine learning (ML), the ML representation including a plurality of vectors each including the number of offset pixels from the component to the vertical reference line at a respective time; training a ML model using the ML representation to characterize the movement of the component as normal or abnormal; and using the trained ML model to characterize the movement of the component in real-time as normal or abnormal.

Abstract: Methods for validating reservoir simulation models can include determining one or more time segments of fluid recovery of a reservoir; generating, for a first time segment, one or more streamlines on a full simulation grid corresponding to the reservoir by performing one or more reservoir simulations; generating, for the first time segment, one or more drainage volumes; generating, for the first time segment, grid regions along one or more no-flow boundaries of the one or more drainage volumes; generating, for the first time segment, sector models corresponding to the grid regions; performing, for the first time segment, a history matching process corresponding to a time phase simultaneously on each of the sector models to generate, for each sector model, a history matching output; and comparing, for the first time segment and for each sector model, the history matching output for that sector model to a tolerance threshold.

Abstract: Methods and systems, including computer programs encoded on a computer storage medium can be used for identifying primary-wave (P-wave) and secondary-wave (S-wave) characteristics of an underground formation by separating P-wave and S-wave modes of seismic data generated by applying a seismic source to a subterranean region of a geological area. Particle motion vectors of a P-wave are parallel to a propagation vector of the P-wave, whereas particle motion vectors of an S-wave are perpendicular to a propagation vector of the S-wave. The parallel and perpendicular relationship between the motion and propagation vectors of the respective P- and S-waves provide a basis for separating P- and S-wave components from a wavefield. The separation methodology extracts P-wave components and S-wave components from the wavefield based on an estimated angle between propagation vectors and wave motion vectors for the wavefield.

Abstract: One or more methods for validating reservoir simulation models. At least one of the methods include determining one or more time segments of fluid recovery of a reservoir by analyzing a production history of the reservoir; running a simulation model, for the first time segment, to generate one or more drainage volumes; generating, for a first time segment, a plurality of grid regions along one or more no-flow boundaries of the one or more drainage volumes; generating, for the first time segment, a plurality of sector models corresponding to the plurality of grid regions; and performing, for the first time segment, a history matching process corresponding to a time phase simultaneously on each of the plurality of sector models to generate, for each of the sector models, a history matching output.

Abstract: Fluid flow dynamics modeling methods and system are provided. In some embodiments, such methods include providing an initial fluid system model including a plurality of nodes, each node characterized by one or more node fluid system parameters; and a plurality of edges between two of the plurality of nodes, each edge characterized by one or more edge fluid system parameters; and using the initial fluid system model, determining an updated fluid system model using a history-matching process.

Abstract: The present disclosure pertains to a system that may be configured to operate a power grid, including generation participants, consumers, and a controller that administers a market for the power generation participants and the consumers on the power grid. The operation of the power grid may include: performing power grid coordination calculations based upon, at least in part, constraints that pertain to the flow and/or congestion of power on the grid; and managing the coordination calculations by reducing a number of constraints used in the coordination calculations, the managing including a first step of coarse screening of the constraints, a second step of deterministic fine screening of the constraints, and a third step of statistical fine screening of the constraints. This second step may cause identification of constraints that are redundant and/or dominated by other constraints.

Abstract: Systems and methods include a method for generating a high-resolution advanced three-dimensional (3D) transient model that models multiple wells by integrating pressure transient data into a static geological model. A crude 3D model is generated from a full-field geological model that models production for multiple wells in an area. A functional 3D model is generated from the crude 3D model. An intermediate 3D model is generated by calibrating the functional 3D model with single-well data. An advanced 3D transient model is generated by calibrating multi-well data in the functional 3D model.

Abstract: Fluid production can be simulated using a reservoir model and a tubing model. For example, pressure data and saturation data can be received from a reservoir model simulating a hydrocarbon reservoir in a subterranean formation. A tubing model can be generated by performing nodal analysis using the pressure data and the saturation data. A well-test result can be received that indicates an amount of fluid produced by the wellbore at a particular time. A tuned tubing model can be generated by adjusting the tubing model such that a tubing-model estimate of the amount of fluid produced by the wellbore at the particular time matches the well-test result. An estimated amount of fluid produced by the wellbore can then be determined using the tuned tubing model. The estimated amount of fluid produced by the wellbore may be used for production allocation or controlling a well tool.

Abstract: A method of automated or assisted geosteering for drilling of a horizontal well compromises automated or assisted estimation of a well's position in a target geological formation using the data acquired during the drilling process.

Abstract: Methods and systems for predicting hydrocarbon production and production uncertainty are disclosed.

Abstract: A system, computer-readable medium, and method for identifying drilling events in drilling reports, of which the method includes receiving one or more drilling reports including text data representing one or more observations recorded during a drilling activity, identifying a drilling event, a drilling activity, or both from the text data using a model, obtaining feedback based at least in part on the drilling event, the drilling activity, or both that were identified, and training the model based on the feedback.

Abstract: An improved typelog alignment for automated or interactive geosteering may use multi-stage penalized optimization.

Abstract: Provided are methods for selecting a treatment for a subterranean formation in accordance with the disclosure and the illustrated FIGs. An example method comprises obtaining a formation material, measuring a geomechanical property of the formation material, measuring a mineralogy of the formation material, preparing a predictive model for the formation material from the measured geomechanical property and the mineralogy of the formation material; wherein the predictive model analyzes production over time for a plurality of treatments for the formation material, wherein the formation material is treated with each treatment in the plurality of treatments and the geomechanical property and the mineralogy of the formation material are measured before and after an individual treatment, selecting the treatment having the greatest production from the plurality of treatments, and contacting the subterranean formation with the treatment.

Abstract: The invention discloses a method for evaluating the difference in gas injection effect of gas injection wells in a carbonate reservoir, aiming at solving the problem that the difference in effect characters of gas injection wells cannot be systematically evaluated in the prior art, and realizing the purposes of systematically and completely evaluating the difference in gas injection effect in the carbonate reservoir and finding out the reason of low efficiency. By means of the invention, reasons for low gas injection efficiency corresponding to different geological classifications are obtained, systematic classification and induction are carried out on the difference in gas injection effect, and gas injection effects are effectively evaluated, so that a sufficient gas injection scheme design basis is provided for subsequent development and production increase, and a significant guiding principle is provided for later-stage gas injection and production increase of the carbonate reservoir.

Abstract: A pipe diagnosis apparatus 10 includes a simulation execution unit 11 that simulates vibrations of pressure in a pipe included in piping equipment to be diagnosed, based on pipe information for specifying a configuration of the piping equipment, and a stress analysis unit 12 that calculates stress that occurs in a pipe included in the piping equipment, based on pressure vibrations acquired through simulation.

Abstract: A method and system for forming Representative Elemental Length (REL) of well data. The method may comprise inputting log data from a borehole in a formation into an information handling system, identifying an initial length of the REL section and divide the log data into a plurality of REL investigation sections that are of substantially equal length, calculating an average value of a formation property for each of the plurality of REL investigation sections, and selecting a maximum value and a minimum value of the REL investigation sections. The method may further comprise checking the maximum value and the minimum value are stable, deriving the formation property for each of the REL sections as an output, and forming a model of the formation from each of the REL sections. The system may comprise a downhole device, configured to take measurements of a formation, and an information handling system.

Abstract: A method is described for analysis of subsurface data including the use of physics-based modeling and experimental design that allows calculation of probabilities of physical subsurface properties. The method may include calculations of key controlling parameters. The method may include using multiple dimension scaling. The method may be executed by a computer system.

Abstract: Systems and methods include a method for optimizing maximum reservoir contact wells. For each lateral of a multi-lateral well and using input data for the lateral, a lateral flowrate is determined for each opening position for different combinations of internal control valve (ICV) sizes and target flowing bottomhole pressures. Using a numerical model, an estimated total flowrate is determined for each lateral based on the lateral's flowrate. Options are provided for presentation to a user in a user interface for changing ICV settings of the multi-lateral well. Each option includes a predicted added value to production of the multi-lateral well. The predicted added value includes one or more of an individual lateral production contribution, an enhanced sweep efficiency for one or more laterals, or a water rate reduction. A selection by the user of an option is received. The option is implemented during production of the multi-lateral well.

Abstract: Systems and methods include a computer-implemented method for performing an advanced control policy for a group of wells. Choke settings are applied to one or more control elements of each well in a group of wells. Rig control settings are applied to the group of wells. The rig control settings define, for each rule in a set of rules: a rule count limiting a number of times a rule is to be executed in a simulation run and a rule frequency identifying a time frequency by which the rule is to be executed during the simulation run. Settings are received for targets and constraints for the group of wells. The simulation run is executed for the group of wells using the choking settings, the rig control settings, and the settings for of the targets and constraints for the group of wells.

Abstract: Responsive to a selection of a well (e.g., offset well), information coupled to the well may be obtained. Information coupled to the well may include structured information and unstructured information. A merged view of the obtained information may be presented. The merged view may provide a view of the structured information and the unstructured information organized according to a predefined presentation format and may facilitate analysis of the well (e.g., analysis of the offset well in planning a new well).

Abstract: Systems, methods, and non-transitory computer readable media can determine one or more actions that a user is likely to take on a page associated with a social networking system, based on one or more first machine learning models. One or more card types that correspond to the one or more actions can be ranked based on a second machine learning model. One or more cards can be generated based on the ranked card types, and each card can include a recommended action associated with the page.

Abstract: A method and apparatus for modeling a subsurface region, including: obtaining a training set of geologically plausible models for the subsurface region; training an autoencoder with the training set; extracting a decoder from the trained autoencoder, wherein the decoder comprises a geologic-model-generating function; using the decoder within a data-fitting objective function to replace output-space variables of the decoder with latent-space variables, wherein a dimensionality of the output-space variables is greater than a dimensionality of the latent-space variables; and performing an inversion by identifying one or more minima of the data-fitting objective function to generate a set of prospective latent-space models for the subsurface region; and using the decoder to convert each of the prospective latent-space models to a respective output-space model. A method and apparatus for making one or more hydrocarbon management decisions based on the estimated uncertainty.

Abstract: Methods for simulating a downhole drilling operation include estimating the geometry, i.e., the shape, size of rock chips generated by engagement of a drill bit with a geologic formation. Each cutting element on the drill bit may produce rock chips of different geometry, and the geometry of rock chips generated by a particular cutting element may change over a predetermined interval. The geometry and other properties rock chips predicted for an interval may be recorded, and a distribution may be calculated based on categorizing each of the predicted rock chips into predefined categories and determining the relative number of rock chips in each category. The distribution may be useful in drill bit design, determining required mud flow characteristics for a drilling operation, and facilitating rotation of a drill string by preventing undesirable interactions of the rock chips with the drill bit and other downhole equipment.

Abstract: Tops of geological layers can be automatically identified using machine-learning techniques as described herein. In one example, a system can receive well log records associated with wellbores drilled through geological layers. The system can generate well clusters by applying a clustering process to the well log records. The system can then obtain a respective set of training data associated with a well cluster, train a machine-learning model based on the respective set of training data, select a target well-log record associated with a target wellbore of the well cluster, and provide the target well-log record as input to the trained machine-learning model. Based on an output from the trained machine-learning model, the system can determine the geological tops of the geological layers in a region surrounding the target wellbore. The system may then transmit an electronic signal indicating the geological tops of the geological layers associated with the target wellbore.

Abstract: Systems and methods for estimating reservoir productivity as a function of position in a subsurface volume of interest are disclosed. Exemplary implementations may: obtain subsurface data and well data corresponding to a subsurface volume of interest; obtain a parameter model; use the subsurface data and the well data to generate multiple production parameter maps; apply the parameter model to the multiple production parameter maps to generate refined production parameter values; generate multiple refined production parameter graphs; display the multiple refined production parameter graphs; generate one or more user input options; receive a defined well design and the one or more user input options selected by a user to generate limited production parameter values; generate a representation of estimated reservoir productivity as a function of position in the subsurface volume of interest using the defined well design and visual effects; and display the representation.

Abstract: Simulation model cells of a reservoir having gas condensate production from layers of a subsurface hydrocarbon reservoir are determined by the Total Dynamic Productivity Index (TDPI) method. The determinations are based on rock and fluid physics, including non-Darcy flow and pseudo-pressure integral, which are responsible for pressure drop near wellbores in the gas condensate wells. A three-dimensional (3D) grid matrix is linked with a well placement optimization algorithm to target high gas energy spots and increase productivity, efficiency and recovery from the gas condensate wells.

Abstract: Aspects of the present disclosure relate to receiving data associated with a subterranean reservoir to be penetrated by a wellbore and training a neural network with both the data and a physics-based first principles model. The neural network is then used to make predictions regarding the properties of the subterranean reservoir, and these predictions are in turn used to determine one or more controllable parameters for equipment associated with a wellbore. The controllable parameters can then be used to control equipment for formation, stimulation, or production relative to the wellbore.

Abstract: A method may include obtaining dynamic response data regarding a geological region of interest. The dynamic response data may include various transmissibility values. The method may further include determining a reservoir graph network based on the dynamic response data and a reservoir grid model. The reservoir graph network may include various grid cells, various wells, and various graph edges. The method may further include generating a graph neural network based on the reservoir graph network. The method may further include updating the graph neural network using a machine-learning algorithm to produce an updated graph neural network for the geological region of interest. The method may further include simulating a well within the geological region of interest using the updated graph neural network.

Abstract: A method of drilling tendency estimation including receiving, at a processor, one or more directional sensor measurements from a drilling tool disposed on a drill string, processing, at the processor, the one or more directional sensor measurements to determine an actual wellbore trajectory over a defined interval, and identifying, at the processor, a set of directional disturbance parameters by optimization of the actual trajectory of the drilling tool, steering inputs, and/or a set of pre-defined directional disturbance parameters of the drilling tool.

Abstract: Provided are embodiments that include segmenting a trajectory of a wellbore of a hydrocarbon well. For each segment, determining whether the segment includes a connection or a flow control element, and in response to determining that the segment includes a connection, generating a conduit link for the segment, in response to determining that the segment includes one or more flow control elements, generating an element link for the segment, or in response to determining that the segment does not include a connection or a flow control element, merging a modeling of the segment with modeling of a conduit link for an adjacent segment of the wellbore. Generating, based on the conduit links and element links generated, a reduced connectivity graph for the hydrocarbon well and a simulation of the hydrocarbon well.

Abstract: The present invention discloses an optimization design method for volumetric fracturing construction parameters of an infilled well of an unconventional oil and gas reservoir. The method comprises the following steps: S1, establishing a three-dimensional geological model with physical and geomechanical parameters; S2, establishing a natural fracture network model through integration of rock core-logging-seismic data; S3, generating old well hydraulic fracturing complex fractures based on the natural crack model; S4. establishing a three-dimensional shale gas reservoir seepage model; S5, establishing a three-dimensional geomechanical model; S6, analyzing and calculating a dynamic geostress field; S7, establishing a numerical model for horizontal fracturing complex fractures in the infilled well based on the calculation results of old well complex fractures and dynamic geostress; and S8, performing optimization design on volumetric fracturing construction parameters of the infilled well.

Abstract: Input data associated with a machine learning model is classified into a plurality of clusters. A plurality of linear surrogate models are generated. One of the plurality of linear surrogate models corresponds to one of the plurality of clusters. A linear surrogate model is configured to output a corresponding prediction based on input data associated with a corresponding cluster. Prediction data associated with the machine learning model and prediction data associated with the plurality of linear surrogate models are outputted.

Abstract: Reservoir management based on unstructured grid reservoir simulation is improved with machine learning based intelligent automation. Reservoir heterogeneity, geological internal boundary features and well geometry complexity are taken into account to automatically detect well zone and focusing reservoir area by calculating the region-of-interests in the model and defining cell spacing for grid coarsening and refinement in the reservoir. Data points for wells in the reservoir are grouped into reservoir regions according to datasets organized as a convex hull, which is a minimum convex set in spatial geometry which encloses the totality of such data points. The reservoir regions form a basis for grid spacing utilized in the reservoir model.

Abstract: Methods and systems for sealing a lost circulation zone associated with a subterranean include determining geophysical data of the lost circulation zone. An available range of lost circulation shape data and an available range of lost circulation material data is provided. The geophysical data, the available range of lost circulation shape data, and the available range of lost circulation material data are part of a fixed data set. An initial lost circulation mix is determined from the fixed data set. An initial drill string downhole flow rate and an initial annulus uphole flow rate are determined and an initial loss volume is calculated. The initial lost circulation mix is delivered into the subterranean well. A revised drill string downhole flow rate and a revised annulus uphole flow rate are determined and a revised loss volume is calculated.

Abstract: A method for identifying a medium structure coupling and a fracture network morphology of a shale gas reservoir includes the following steps. Firstly, performing a fracturing test on shale cores by using a modified Brazilian disc test and categorizing the fracture network morphology. Secondly, performing a shale matrix-fracture structure and stress sensitivity test on the shale cores having different fracture network morphology. After that, determining a stress sensitivity constant of different fracture network morphology according to indoor core data and finally preparing an identification chart of the fracture network morphology based on an indoor core stress sensitivity test combined with a production practice. The identification chart can be applied to an actual fracturing well, and the fracture network morphology is directly identified by a real-time effective stress and a normalized flow.

Abstract: A fracture geometry mapping method includes determining a value of a diffusive tortuosity in a first direction in a first rock sample from a subterranean formation with one or more hardware processors; determining a value of a diffusive tortuosity in a second direction in the first rock sample from the subterranean formation with the one or more hardware processors, the second direction orthogonal to the first direction in the first rock sample; determining a value of a diffusive tortuosity in third direction in the first rock sample from the subterranean formation with the one or more hardware processors, the third direction orthogonal to both the first direction and the second direction in the first rock sample; comparing the values of the diffusive tortuosities in the in the first direction, the second direction, and the third direction; and based on the comparison, generating a first fracture network map of the subterranean formation, the first fracture network map including a first plurality of anisotrop

Abstract: An example method for dynamic wear prediction for a drill bit with a cutting structure may include receiving at a processor of an information handling system an unworn profile of the cutting structure and a diamond distribution of the cutting structure. The diamond distribution may include a three-dimensional diamond distribution characterized by radial and axial position on the drill bit. The method may include calculating a final predicted wear profile of the cutting structure based, at least in part, on the unworn profile and the diamond distribution. The method also may include calculating iterations of intermediary wear profiles based, at least in part, on the previous wear profile and the diamond distribution. The final predicted wear profile may indicate a fully worn portion of the cutting structure. A usable life for the drill bit may be determined based, at least in part, on the final predicted wear profile.

Abstract: Certain aspects and features of the present disclosure relate to analysis of physical media copies of wellbore schematics and the generation of corresponding digital wellbore schematics. Wellbore data may be analyzed by a wellbore schematic analysis tool to produce a structured data file containing information harvesting from a physical media copy of a wellbore schematic. This information may be compared to data from other wellbores and or may be used to generate a new digital wellbore schematic.

Abstract: A system is controlled by solving a mixed-integer optimal control optimization problem using branch-and-bound (B&B) optimization that searches for a global optimal solution within a search space. The B&B optimization iteratively partitions the search space into a nested tree of regions, and prunes at least one region from the nested tree of regions before finding a local optimal solution for each region when a dual objective value of a projection of a sub-optimal dual solution estimate for each region into a dual feasible space is greater than an upper bound or lesser than a lower bound of the global optimal solution maintained by the B&B optimization.

Abstract: Techniques for detecting and correcting for discrepancy events in a fluid pipeline are presented. The techniques can include obtaining a plurality of empirical temperature and pressure measurements at a plurality of locations within the pipeline; simulating, using a pipeline model, a plurality of simulated temperature and pressure measurements for the plurality of locations within the pipeline; detecting, by a discrepancy event detector, at least one discrepancy event representing a discrepancy between the empirical temperature and pressure measurements and the simulated temperature and pressure measurements; outputting to a user an indication that the at least one discrepancy event has been detected; accounting for the at least one discrepancy; determining, after the accounting and using an estimator applied to the pipeline model, a corrected branch flow rate for the pipeline; and outputting the corrected branch flow rate for the pipeline to the user.

Abstract: A method can include selecting a location in an area that includes offset wells; determining design parameters of the offset wells; modeling a modeled well based at least in part on the design parameters of the offset wells to generate design parameters for the modeled well; and determining design parameters for a well at the selected location based at least in part on a portion of the design parameters of the offset wells and based at least in part on a portion of the design parameters for the modeled well.

Abstract: Techniques for estimating a current inclination and azimuth of a drill bit of a wellbore drilling system are described. The estimates for the current inclination and azimuth are generated using measurements obtained for one or more parameters associated with the drilling process performed by the drill bit and taken over a range of the wellbore falling within a sliding window having a predefined distance D extending along the wellbore.

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: The disclosure relates to a method for self-adaptive survey calculation of a wellbore trajectory in oil drilling, and belongs to the field of oil and gas drilling technologies. Curve characteristics of a calculated survey interval are identified by calculating measurement parameters of four survey stations corresponding to the survey interval and two survey intervals before and after the survey interval, so that an appropriate curve is selected to calculate a coordinate increment of the survey interval, then parameters of the curve characteristics which are close to the shape of the calculated wellbore trajectory are selected automatically, and the curve type which is closest to an actual wellbore trajectory is fitted automatically and the survey calculation is carried out.

Abstract: Techniques for calibration of a simulation of a subterranean region having complex fracture geometries. Calibration of indeterministic subsurface discrete fracture network models is performed via non-intrusive embedded discrete fracture modeling formulations applied in conjunction with well testing interpretation and numerical simulation. Subterranean fracture networks are characterized dynamically by embedded discrete fracture modeling to accurately and efficiently determine an optimal fracture model.