Chevron U.s.a. Inc.

Julian Arthur Thorne

Michael James Pyrcz

Lewis Li

Shane James Prochnow

Sebastien B Strebelle

Andrew Harding

Jean-Baptiste Clavaud

Liliia Reddy

Joseph Martin Hovadik

Marjorie Levy

Deyi Xie

Andrew William Harding

Petros Papazis

David K Larue

Andrew Royle

Michael Pyrcz

Bruce Bilodeau

Marjorie E Levy

Methods and systems for predicting hydrocarbon production and production uncertainty are disclosed. Exemplary implementations may: obtain training data, the training data including (i) training production data, (ii) training engineering parameters, and (iii) a training set of geological parameters and corresponding training geological parameter uncertainty values; obtain an initial production model; generate a trained production model by training the initial production model; store the trained production model; obtain a target set of geological parameters and corresponding target geological parameter uncertainty values and target engineering parameters; apply the trained production model to generate a set of production values and corresponding production uncertainty values; generate a representation using visual effects to depict at least a portion of the set of production values and corresponding production uncertainty values as a function of position within the subsurface volume of interest; and display the representation.

Systems and methods for predicting hydrocarbon production and assessing prediction uncertainty

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.

Systems and methods for estimating a well design reservoir productivity as a function of position in a subsurface volume of interest based on a reservoir productivity parameter

Systems and methods are disclosed for generating a set of facies realizations. A computer-implemented method may use a computer system that includes a physical computer processor and data storage. The computer-implemented method may include: obtaining a geobody index, obtaining facies probability vectors for the multiple geobodies, assigning facies to the multiple geobodies based on the facies probability vectors, obtaining a target facies proportion for the subsurface volume of interest, reassigning a first geobody having a first facies based on a first facies probability vector of the first geobody, and reassigning remaining ones of the multiple geobodies with different facies.

Systems and methods for generating facies realizations

Systems and methods for estimating a likelihood of an object element in a given position in a subsurface volume of interest are disclosed. Exemplary implementations may: obtain target subsurface data from the subsurface volume of interest; obtain an object element set corresponding to the subsurface volume of interest; generate correlation values as a function of position in the subsurface volume of interest by applying the object filters to the target subsurface data; and generate object element likelihood values by applying the object templates to positions in the subsurface volume of interest corresponding to the correlation values.

Systems and methods for estimating a likelihood of an object element in a given position in a subsurface volume of interest

A method is described for automated post-geosteering including receiving a pilot well log and a lateral well log with an initial lateral well path; performing automated post-geosteering to generate a corrected well path image; and displaying the corrected well path image on a graphical display. The method may be executed by a computer system.

System and method for automated post-geosteering

A method is described for generating a reservoir property model based on the quality of a seismic inversion product. The method may include receiving a seismic inversion product volume, a seismic attribute volume, and well data from wells drilled in a subsurface volume of interest; identifying collocated cells in the seismic volumes which correspond to the well data; creating attribute vectors from the seismic volumes in each of the collocated cells and a range of neighboring cells; calculating a seismic inversion error magnitude property at the collocated cells; training a data analytics method to predict the observed seismic inversion error magnitude property; verifying that the data analytics method accurately predicts the seismic inversion error magnitude using cross-validation; generating an inversion quality volume; and generating the reservoir property model based on the inversion quality volume. The method may be executed by a computer system.

System and method for building reservoir property models

A computer implemented method for identifying reservoir facies in a subsurface region includes obtaining a set of seismic data points of both petrophysical and geophysical parameters relating to the subsurface region, identifying one or more correlated clusters of petrophysical parameters, generating, from the one or more correlated clusters of petrophysical parameters, one or more corresponding multi-dimensional clusters of seismic data points, storing, in a facies database, a multi-dimensional cluster center point for at least one multi-dimensional clusters, and recursively splitting the multi-dimensional clusters into distinct sub-clusters of seismic data points corresponding to facies types.

System and method for reservoir facies classification that segments both petrophysical and geophysical properties

A system and method, implemented on a computer, for determining the uncertainty of soft-data debiasing of property distributions of spatially correlated reservoir data are provided. The method includes inputting, into the computer, soft-data at a plurality of spatial locations on a grid and hard-data at a plurality of location along well paths that intersect the grid. Each location of the hard-data is collocated with soft-data values of one or more types. The method further includes calculating, using the computer, a variogram of the hard-data and creating subsets of independent hard-data using the variogram and the soft-data values that are collocated with each of the hard-data location; applying, using the computer, a bootstrap process on each of the plurality of subsets of independent hard-data to obtain a plurality of bootstrap data sets from each of the plurality of subsets of independent hard-data; calculating soft-data debiased histograms for each of the obtained plurality of bootstrap data sets using a binary decision tree and the collocated soft-data; and characterizing the uncertainty of the soft-data debiased histograms.

System and method of using spatially independent subsets of data to determine the uncertainty of soft-data debiasing of property distributions for spatially correlated reservoir data

A method of automatically interpreting well log data indicative of physical attributes of a portion of a subterranean formation which include some portion of samples with known facies classification to be used as training data, dividing the training data into two subsets, a calibration set and a cross-validation set, using an automated supervised learning facies identification method to determine a preliminary identification of facies in the subterranean formation based on the calibration set, calculating a confusion matrix for the supervised learning facies identification method by comparing predicted and observed facies for the cross-validation set, calculating a facies transition matrix characterizing changes between contiguous facies, and using the preliminary identification, the facies transition matrix, and the confusion matrix, iteratively calculating updated facies identifications.

System and method for facies classification

A system and a method, implemented on a computer, for calculating property distribution uncertainty of spatially correlated petrophysical data. The method includes inputting, into the computer, a sample petrophysical data comprising correlated data; applying, using the computer, a variogram to the sample petrophysical data to select a plurality of subsets of data, the subsets of data being substantially less correlated than the sample petrophysical data; and applying, using the computer, a bootstrap process on each of the plurality of subsets of data to obtain a plurality of bootstrap data sets from each of the plurality of subsets of data. The method further includes calculating data distributions for each of the obtained plurality of bootstrap data sets; ranking the data distributions by using a selected statistical parameter to obtain ranked data distributions; and characterizing the uncertainty based on the ranked data distributions.

System and method of using spatially independent subsets of data to calculate property distribution uncertainty of spatially correlated reservoir data

A method, implemented on a computer, for calculating vertical trend curve uncertainty of spatially correlated reservoir data. The method includes inputting, into the computer, a sample reservoir data comprising correlated data; applying, using the computer, a variogram to the sample reservoir data to select a plurality of subsets of data, the subsets of data being substantially less correlated than the sample reservoir data; and applying, using the computer, a bootstrap process on each of the plurality of subsets of data to obtain a plurality of bootstrap data sets from each of the plurality of subsets of data. The method further includes calculating vertical trend curves for each of the obtained plurality of bootstrap data sets, ranking the vertical trend curves by using a selected statistical parameter to obtain ranked vertical trend curves, and characterizing the uncertainty based on the ranked vertical trend curves.

Method of using spatially independent subsets of data to calculate vertical trend curve uncertainty of spatially correlated reservoir data

A computer system and a hybrid method for combining multipoint statistic and object-based methods include creating a multi-point statistics (MPS) model using a MPS method that satisfies conditioning data and constraints in which the multi-point statistics are derived from a training image created using training-image generation parameters; generating one or more object-shape templates and depositional or structural coordinates of each facies type using the generation parameters; positioning the one or more generated templates within the MPS model such that the one or more generated templates maximally correlate to the MPS model; assigning to each of the one or more positioned templates a unique event; providing depositional or structural coordinates to each cell associated with a given event number; and modeling properties using the coordinates to capture geological trends within each template.

Hybrid method of combining multipoint statistic and object-based methods for creating reservoir property models

A computer system and a hybrid method for combining multipoint statistic and object-based methods include creating a multi-point statistics (MPS) model using a MPS method that satisfies conditioning data and constraints, the multi-point statistics being derived from a training image created using training-image generation parameters; generating one or more object-shape templates and depositional coordinates of each facies type using the parameters; positioning the templates within the MPS model such that the templates maximally correlate to the MPS model; assigning to each of the positioned templates a unique event; determining which cells are available for editing; and assigning the cells that are available for editing to facies if the cells are contained by a facies template positioned within the MPS model at its optimally correlating location.

Method for editing a multi-point facies simulation

A method of locating resources in a reservoir that includes at least one injection well and at least one production well includes mapping a modeled permeability characteristic of structures making up the reservoir, computing, based on the modeled permeability characteristic, an indicator of flow velocity for streamlines from each production well, computing, based on the modeled permeability characteristic, an indicator of flow velocity for streamlines from each injection well, and combining the indicators of flow velocity from each production and injection well to characterize a sweep efficiency of the reservoir system.

Location of bypassed hydrocarbons

A method of normalizing well log data relating to geology of a subsurface region includes identifying a pair of markers defining a zone on each well log, determining a statistic for a property within the zone for each well log, fitting a smooth function to the statistics to create a first-iteration trend surface, determining, for each statistic, a deviation from the trend surface and eliminating those statistics that deviate from the trend surface by greater than a threshold value, fitting a smooth function to the remaining statistics to create a second-iteration trend surface, normalizing the property for each well log based on the second-iteration trend surface, and analyzing the normalized properties to determine the geology of the subsurface region.

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Benicia, CA, United States of America

Julian Arthur Thorne