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 for performing a borehole and/or subsurface formation-related action for a subsurface formation of interest includes: receiving a plurality of sets of fracture data for a subsurface rock; generating a discrete fracture network (DFN) for each set of fracture data; and determining a property of each DFN that corresponds to each set of fracture data. The method also includes: mapping the plurality of sets of fracture data to the corresponding property using artificial intelligence (AI) to provide an AI model; inputting a set of fracture data for the subsurface formation of interest into the AI model; outputting a property of the subsurface formation of interest from the AI model; and performing the borehole and/or subsurface formation-related action for the subsurface formation of interest using the property and equipment configured to perform the borehole and/or subsurface formation-related action.

Abstract: An embodiment of a method for evaluating a schedule for removing a core sample includes generating a model of the core by applying a value of each of the input parameters, one or more of the input parameter values associated with an uncertainty range, and defining a proposed tripping schedule, and performing an evaluation including applying the proposed tripping schedule and a set of expected input parameter values to the model, estimating a core parameter and determining whether the tripping schedule is predicted to be successful by comparing the core parameter to selected core damage criteria. The method also includes iteratively repeating the evaluation, each evaluation being performed using a different combination of input parameter values than any other evaluation, and calculating a probability of success (POS) of the proposed tripping schedule based on a number of evaluations that result in the tripping schedule being predicted to be successful.

Abstract: A table including a record can be displayed within a graphical user interface display space. The record can include an attribute. Data characterizing a user input can be received. The user input can specify an input parameter of an entry associated with the attribute of the record. A predefined syntactical rule set can be used to parse the user input. The parsing can include determining one or more simulation attributes associated with executing a simulation. The one or more simulation attributes can be provided. The result of the executed simulation can be processed. The result of the executed simulation can be displayed within a graphical user interface display space. Related apparatus, systems, techniques, and articles are also described.

Abstract: Examples of techniques for anonymizing data are disclosed. In one example implementation according to aspects of the present disclosure, a computer-implemented method includes receiving, by a processing device, raw data from a wellbore operation. The raw data can be associated with depths. The method further includes anonymizing, by the processing device, the raw data to convert the raw data to anonymized data. One or more techniques can be implemented to anonymize the data, such as shuffling the raw data, normalizing the raw data, and/or non-dimensionalizing the raw data. The method further includes analyzing, by the processing device, the anonymized data. The method further includes performing an action at the wellbore operation based at least in part on the analysis of the anonymized data.

Abstract: Examples of techniques for anonymizing data are disclosed. In one example implementation according to aspects of the present disclosure, a computer-implemented method includes receiving, by a processing device, raw data from a wellbore operation. The raw data can be associated with depths. The method further includes anonymizing, by the processing device, the raw data to convert the raw data to anonymized data. One or more techniques can be implemented to anonymize the data, such as shuffling the raw data, normalizing the raw data, and/or non-dimensionalizing the raw data. The method further includes analyzing, by the processing device, the anonymized data. The method further includes performing an action at the wellbore operation based at least in part on the analysis of the anonymized data.

Abstract: A method for estimating a property of an earth formation includes: obtaining a sample of rock; scanning the sample to determine internal rock damage; measuring a deformation parameter of the sample; constructing a mathematical model of the sample that replicates the determined and measured internal rock damage distribution; simulating the one or more tests using the mathematical model; obtaining a rock deformation parameter using the one or more simulated tests corresponding to the measured rock deformation parameter; comparing the rock deformation parameter obtained from the one or more simulated tests to the corresponding measured rock deformation parameter; adjusting parameters of the mathematical model based upon the rock parameter obtained from simulation not being within a selected range of the measured rock parameter; and providing the mathematical model as a verified mathematical model based upon the rock parameter obtained from simulation being within a selected range of the measured rock parameter.

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: Examples of techniques for anonymizing data are disclosed. In one example implementation according to aspects of the present disclosure, a computer-implemented method includes receiving, by a processing device, raw data from a wellbore operation. The raw data can be associated with depths. The method further includes anonymizing, by the processing device, the raw data to convert the raw data to anonymized data. One or more techniques can be implemented to anonymize the data, such as shuffling the raw data, normalizing the raw data, and/or non-dimensionalizing the raw data. The method further includes analyzing, by the processing device, the anonymized data. The method further includes performing an action at the wellbore operation based at least in part on the analysis of the anonymized data.

Abstract: Examples of techniques for anonymizing data are disclosed. In one example implementation according to aspects of the present disclosure, a computer-implemented method includes receiving, by a processing device, raw data from a wellbore operation. The raw data can be associated with depths. The method further includes anonymizing, by the processing device, the raw data to convert the raw data to anonymized data. One or more techniques can be implemented to anonymize the data, such as shuffling the raw data, normalizing the raw data, and/or non-dimensionalizing the raw data. The method further includes analyzing, by the processing device, the anonymized data. The method further includes performing an action at the wellbore operation based at least in part on the analysis of the anonymized data.

Abstract: A method for performing a borehole and/or subsurface formation-related action for a subsurface formation of interest includes: receiving a plurality of sets of fracture data for a subsurface rock; generating a discrete fracture network (DFN) for each set of fracture data; and determining a property of each DFN that corresponds to each set of fracture data. The method also includes: mapping the plurality of sets of fracture data to the corresponding property using artificial intelligence (AI) to provide an AI model; inputting a set of fracture data for the subsurface formation of interest into the AI model; outputting a property of the subsurface formation of interest from the AI model; and performing the borehole and/or subsurface formation-related action for the subsurface formation of interest using the property and equipment configured to perform the borehole and/or subsurface formation-related action.

Abstract: A method for estimating a permeability of an earth formation includes: receiving a discrete fracture network (DFN) of the earth formation; representing the DFN as one or more volume sections, each volume section having a plurality of boundaries; identifying fractures that are connected to each other and lead from a first boundary in the plurality of boundaries to a second boundary in the plurality of boundaries to provide one or more flow paths for each volume section; applying Oda's method to the connected fractures making up the one or more flow paths to estimate the permeability of the earth formation along the one or more flow paths for each volume section to provide a permeability value for each volume section; and performing an action related to the earth formation using the permeability value for each volume section and an apparatus related to the action.

Abstract: Examples of techniques for determining robustness of a discrete fracture network (DFN) permeability estimate are disclosed. In one example implementation according to aspects of the present disclosure, a method may include: receiving a DFN of an earth formation of interest, the DFN comprising a plurality of connected fractures; determining a directional equivalent permeability of the plurality of connected fractures of the DFN using a numerical upscaling method; and determining the robustness of the directional equivalent permeability.

Abstract: A method for stimulating an earth formation according to a stimulation scenario for extracting hydrocarbons from the earth formation includes: selecting an earth formation stimulation scenario; applying a modified Mohr-Coulomb model that is configured to estimate behavior of a rock formation during the stimulation scenario, the modified Mohr-Coulomb model having a term representing dilatation in an out-of-plane orientation; predicting a fracture and damage network using the modified Mohr-Coulomb model; converting the fracture and damage network into permeability; simulating fluid flow in the earth formation using the permeability to predict hydrocarbon production; computing a value of a metric for hydrocarbon production for the selected stimulation scenario; iterating the selecting, applying, predicting, converting, simulating, and computing until the metric value meets or exceeds a threshold value; and stimulating the earth formation using a stimulation treatment system according to the stimulation scenario

Abstract: A method for estimating an upscaled directional permeability of a formation includes: receiving a discrete fracture network (DFN), aligning the DFN in a desired direction; cropping the DFN to a desired size having boundaries. The method further includes identifying a fracture plane or fracture planes that are connected with each other and establish a path between the boundaries of the cropped DFN and creating a pipe model of the identified fracture plane or planes that includes one or more conduits connecting one boundary to another boundary. The method further includes creating a system of equations representing flows through the conduits, applying boundary conditions to the system of equations; solving the system of equations for steady-state flow to estimate the upscaled directional permeability of the formation. The method steps can be iterated for another desired direction if the upscaled directional permeability is wanted for the another desired direction.

Abstract: A method for computing a production rate of hydrocarbons from an earth formation includes: obtaining information about a discrete fraction network relating to locations, orientations and apertures of fractures; computing an average distance of the fractures to a wellbore penetrating the formation and a standard deviation of the distances; computing an average velocity of fluid from each of the fractures to the wellbore and a standard deviation of the velocities; computing a characteristic time representing a time for fluid to flow from each fracture to the wellbore and a standard deviation of the characteristic times; computing a range of hydrocarbon production rates using the characteristic time and the standard deviation of the characteristic times to provide the range of hydrocarbon production rates as a function of standard deviation values; and providing a graph of the range of hydrocarbon production rates as a function of standard deviation values.

Abstract: A method for estimating a property of an earth formation includes: obtaining a sample of rock; scanning the sample to determine internal rock damage; measuring a deformation parameter of the sample; constructing a mathematical model of the sample that replicates the determined and measured internal rock damage distribution; simulating the one or more tests using the mathematical model; obtaining a rock deformation parameter using the one or more simulated tests corresponding to the measured rock deformation parameter; comparing the rock deformation parameter obtained from the one or more simulated tests to the corresponding measured rock deformation parameter; adjusting parameters of the mathematical model based upon the rock parameter obtained from simulation not being within a selected range of the measured rock parameter; and providing the mathematical model as a verified mathematical model based upon the rock parameter obtained from simulation being within a selected range of the measured rock parameter.

Abstract: A method for determining a connectivity of at least one fracture to other fractures in an earth formation includes: obtaining connectivity information for each fracture of interest in the earth formation where the connectivity information for each fracture of interest includes connections with other fractures. The method further includes converting the connectivity information for each fracture of interest into a conjunctive normal form and determining the connectivity of the at least one fracture to other fractures by solving the connectivity information for each fracture of interest in the conjunctive normal form using a Boolean Satisfiability problem solver.

Abstract: A method for estimating a property of an earth formation includes: obtaining a sample of rock; scanning the sample to determine internal rock damage; measuring a deformation parameter of the sample; constructing a mathematical model of the sample that replicates the determined and measured internal rock damage distribution; simulating the one or more tests using the mathematical model; obtaining a rock deformation parameter using the one or more simulated tests corresponding to the measured rock deformation parameter; comparing the rock deformation parameter obtained from the one or more simulated tests to the corresponding measured rock deformation parameter; adjusting parameters of the mathematical model based upon the rock parameter obtained from simulation not being within a selected range of the measured rock parameter; and providing the mathematical model as a verified mathematical model based upon the rock parameter obtained from simulation being within a selected range of the measured rock parameter.

Abstract: An embodiment of a method for evaluating a schedule for removing a core sample includes generating a model of the core by applying a value of each of the input parameters, one or more of the input parameter values associated with an uncertainty range, and defining a proposed tripping schedule, and performing an evaluation including applying the proposed tripping schedule and a set of expected input parameter values to the model, estimating a core parameter and determining whether the tripping schedule is predicted to be successful by comparing the core parameter to selected core damage criteria. The method also includes iteratively repeating the evaluation, each evaluation being performed using a different combination of input parameter values than any other evaluation, and calculating a probability of success (POS) of the proposed tripping schedule based on a number of evaluations that result in the tripping schedule being predicted to be successful.