A method for generating a geophysical image of a subsurface region includes defining a computational sub-volume for the geophysical image including a predetermined number of seismic traces of a plurality of seismic traces and a predetermined number of samples per each one of the plurality of seismic traces, generating a data matrix corresponding to a first sub-volume of the subsurface region based on the defined computational sub-volume, the data matrix comprising the predetermined number of samples for the predetermined number of traces of a portion of a seismic dataset corresponding to the first sub-volume. The method also includes estimating a coherence between the predetermined number of traces of the data matrix by performing a sum of a variance of the predetermined number of samples of the data matrix, and assigning the estimated coherence to a location in the geophysical image.

The present invention proposes a method to represent seismic fault damage zones and fracture density in the geological models of reservoirs in a simple, agile and automated way, so that it can be easily replicated by geologists in any production design. It was developed as a group of workflows, inserted in the commercial software Petrel, widely used in the company for the 3D numerical modeling of reservoirs.

A fully automated method for correcting errors in one interpretation (13) of seismic data based on comparison to at least one other interpretation (14) of the same subsurface region. The errors may occur in any feature of the seismic data volume, for example a horizon, surface, fault, polyline, fault stick, or geo-body. In some embodiments of the invention, an error may be a hole in a horizon (53), and the whole is patched by a piece of a horizon in another interpretation (55). In an alternative embodiment of the invention, a single interpretation may be used to repair itself, for example by identifying similarly shaped, adjacent horizons (67), and merging them (68).

Methods, apparatuses, and mediums related to a full-wavefield angle gather generation for high-contrast inter-thin bed modeling for reservoir characterizations of a survey region are provided. A method may include a well logging tool having one or more sonic generators and one or more well log data recording sensors in a wellbore. Sound waves may be generated using the one or more sonic generators in order to generate reflections in the survey region. Well log data, based on the reflections, may be received using well log data recording sensors, and the well log data may be transmitted to at least one memory. A method may perform, using a computer system, a full-wavefield angle gather generation. A method may generate, by a computer system, the high-contrast inter thin-bed models based on the full-wavefield angle gather.

Disclosed are methods, systems, and computer-readable medium to perform operations including: receiving an input dataset that represents partial spatial information of an area of interest; providing the input dataset to a spatial context generator, wherein the spatial context generator comprises a machine learning model trained to generate, based on the partial spatial information, contextual spatial information for the area of interest; and using the spatial context generator to generate, based on the partial spatial information, at least one output dataset associated with the area of interest, where each output dataset comprises simulated contextual spatial information for the area of interest.

Method for decomposing a complexly shaped object in a data set, such as a geobody (31) in a seismic data volume, into component objects more representative of the true connectivity state of the system represented by the data set. The geobody is decomposed using a basis set of eigenvectors (33) of a connectivity matrix (32) describing the state of connectivity between voxels in the geobody. Lineal subspaces of the geobody in eigenvector space are associated with likely component objects (34), either by a human interpreter (342) cross plotting (341) two or more eigenvectors, or in an automated manner in which a computer algorithm (344) detects the lineal sub-spaces and the clusters within them.

Systems, methods, and software can be used to simulate a fracture treatment. In some aspects, a common solution vector for multiple distinct subsystem models is defined. Each subsystem model represents a distinct subsystem of an injection treatment system. Parameters of the subsystem models are updated based on the solution vector according to predefined relationships between the solution vector and the parameters of the subsystem models. The subsystem models are operated based on the solution vector and the updated parameters.

Method and system is described for modeling one or more geophysical properties of a subsurface volume. In one embodiment, a method of modeling the subsurface comprises obtaining one or more subsurface volume and obtaining an interpretation of the subsurface volume. One or more flexible geologic concepts are defined and applied to the interpretation of the subsurface volume. The one or more geologic concepts comprise one or more flexible geologic concepts. A modified interpretation of the subsurface volume is obtained based upon the applied geologic concepts.

Systems and methods for creating a surface in a faulted space, which includes using interpolation techniques.

A method includes retrieving a seismic data set, receiving training data that includes one or more seed points of an identified geobody, determining a geobody trajectory of the identified geobody, based on the one or more seed points of the identified geobody, displaying the geobody trajectory, receiving inputs expanding the geobody trajectory, shrinking the geobody trajectory, confirming the geobody trajectory, or a combination thereof, training a classification algorithm using the geobody trajectory, running the classification algorithm on the seismic data set, receiving an output of one or more sets of voxels from the classification algorithm, skeletonizing the one or more sets of voxels to present the one or more sets of voxels as a set of possible geobody trajectories, and retraining the classification algorithm based on feedback received from a reviewer.