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

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

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: A method for quantifying frac hits within a few days using a novel pressure-transient analysis technique called differential pressure-transient analysis (DPTA). Unlike pressure transient analysis (PTA) methods, focused on single-well analyses, DPTA evaluates pressure response from two or more wells simultaneously to (1) determine the existence of frac hits, and (2) determine the degree of interference, defined as the ratio of inter-connected to total number of primary fractures from a given well. The output from (2) can be subsequently used to accurately predict oil and/or gas production rates for infill and offset wells.

Abstract: Aspects of the subject technology relate to systems and methods for controlling a hydraulic fracturing job. A fracturing completion model can be applied to identify a plurality of possible fracturing completion plans for completing one or more wellbores at a target completion. The plurality of possible fracturing completion plans can include varying values of fracturing completion parameters and/or reservoir parameters. Completion characteristic data of the one or more wellbores can be gathered in response to application of at least a portion of a fracturing completion plan of the possible fracturing completion plans. Further, the completion characteristic data can be used to determine whether to apply a different fracturing completion plan of the possible fracturing completion plans. In turn, if it is determined to apply the different fracturing completion plan, then the method can include facilitating switching to the different fracturing completion plan in completing the one or more wellbores.

Abstract: Reservoir properties can be received. A plurality of potential well trajectories can be determined. Each trajectory can characterize an extension of the well from a well origin position. Each trajectory can include a plurality of well segments. Production contribution of each potential well trajectory can be evaluated using the reservoir properties. A final well trajectory can be provided based on the evaluated production contribution of the potential well trajectories. Related apparatus, systems, techniques and articles are also described.

Abstract: A method, including: determining, with a computer, point spread functions for a plurality of parameter locations by performing at least a portion of a first iteration of an iterative full wavefield inversion process; determining at least one property for each of the point spread functions; and evaluating a candidate survey design based on the at least one property for each of the point spread functions.

Abstract: Methods for using shut-in pressures to determine uncertainties in a hydraulic fracturing process in a shale reservoir are described. Data commonly collected during multistage fracturing is used to calculate propped fracture height and induced stresses, as well as other variables, in the presence of horizontal stress anisotropy. These variables can then be incorporated into reservoir simulations to improve the fracturing monitoring, forecast hydrocarbon recoveries, or modify fracturing plans.

Abstract: A wellbore trajectory survey includes an ordered plurality of survey points, each of which has a measured depth, an inclination, and a geographic location. The wellbore trajectory survey is ordered on measured depth. A minimum lateral measured depth (min_LMD) as a measured depth of a first point in the ordered plurality of survey points for which the inclination exceeds an inclination threshold angle is identified. A maximum lateral measured depth (max_LMD) as a measured depth of a last point in the ordered plurality of survey points for which the inclination exceeds the inclination threshold angle is identified. The processor determines from the wellbore trajectory survey that the wellbore at measured depths between the min_LMD and the max_LMD exhibits porpoising into and out of a formation.

Abstract: This disclosure presents methods and systems to perform fairway analysis on a computing system to automate tasks. The automation of the fairway analysis can reduce bias and uncertainty introduced by a user using their own set of assumptions, estimations, and preferred sequencing of rules and algorithms. The described processes can receive initial input parameters describing the area of interest (AOI) and a geological age range. The processes can retrieve appropriate geological and stratigraphic parameters using the initial input parameters. The combined input parameters can then be geoprocessed using age-aware rules and a determined sequence of algorithms and rules to generate synthesized geological data that can be upscaled and transformed into one or more chance maps indicating the presence and effectiveness of various hydrocarbon elements. The chance maps can be amalgamated and processed to produce a prospective map indicating the likelihood of success of further exploration of the specified AOI.

Abstract: A route generator and method of operating the same including; calculating route traversal values for a plurality of blocks in a first group simultaneously, each block including a plurality of cells, traversal values being values that consider terrain movement cost data and data indicating progress towards a route endpoint on a per-cell basis, wherein the plurality of blocks are chosen such that the blocks in the first group fail to share any edges with other blocks in the first group.

Abstract: A method includes receiving a training selection of a first set of faults located in a first subset of a seismic dataset for a subsurface geologic formation, detecting a second set of faults in the seismic dataset based on fault interpretation operations using a first set of interpretation parameters, and determining a difference between the first set of faults and the second set of faults. The method also includes generating a second set of interpretation parameters for the fault interpretation operations based on the difference between the first set of faults and the second set of faults, and determining a feature of the subsurface geologic formation based on fault interpretation operations using the second set of interpretation parameters.

Abstract: A method, apparatus, and program product model address a modeling gap existing between basin and reservoir modeling through the use of a Reservoir Fluid Geodynamics (RFG) model usable for simulations conducted at a relatively fine spatial resolution and over a geological timescale.

Abstract: Examples of techniques for model-based parameter and state estimation for directional drilling in a wellbore operation are provided. In one example implementation according to aspects of the present disclosure, a computer-implemented method includes receiving, by a processing device, measurement data from the wellbore operation. The method further includes performing, by the processing device, an online estimation of at least one of a parameter to generate an estimated parameter and a state to generate an estimated state, the online estimation based at least in part on the measurement data. The method further includes generating, by the processing device, a control input to control an aspect in the wellbore operation based at least in part on the at least one of the estimated parameter and the estimated state. The method further includes executing a control action based on the control input to control the aspect of the wellbore operation.

Abstract: Methods and systems are presented in this disclosure for high-dimensional detection and visualization. Detection in a higher-dimensional domain of at least one of an event or one or more objects within a visualization environment can be performed by identifying at least one evolution of the event or a dynamic property of the one or more objects. The at least one evolution of the event or the one or more objects having the dynamic property can be displayed within the visualization environment. Appropriate operations can be initiated based on the at least one evolution of the event or the one or more objects.