Methods, apparatuses, and computer-readable media are set forth for visualizing and interacting with well production data in a three-dimensional or four-dimensional environment, e.g., using a volumetric well production display representation representing a well in an oilfield and including a plurality of display characteristics configured to display historical production data for the well over a time period.

A data processing system systems with parallel processors performing simulations by numerical solution of partial differential equations or similar numerical simulations. The data processing system extends the scaling limit of parallel solvers in those numerical simulations by overcoming the frequent network latencies encountered during a simulation. Fewer, yet larger batches of data are exchanged between computing nodes.

Recorded seismic data are obtained at a plurality of receivers from a plurality of sources, and a set of sources from the plurality of sources is selected using spatial criteria based on a location of each source such that any two sources in the set of sources are separated by a predefined minimum distance of separation sufficient to reduce cross talk between sources. The set of sources is combined in a non-encoded manner into a composite source, and forward modeling for the composite source is performed to generate a synthetic seismic data set. A composite recorded seismic data set for the set of sources is determined, and the synthetic seismic data set and composite recorded seismic data set are used to determine a residual seismic data set. Backward modeling generates a gradient update used to generate an updated earth model.

Depth-averaged flow simulation systems and methods provided herein employ parameterized templates for dynamical depth profiling for at least one step of a simulation. In one illustrative computer-based embodiment, the simulation method includes, for each map point at one given time step: determining a flow template and a sediment concentration template based on depth-averaged flow velocity and depth-averaged sediment concentrations of different classes of grain size for that map point; employing the templates to construct a vertically-distributed flow velocity profile and vertically-distributed sediment concentration profiles for associated classes of grain size for that map point, thereby obtaining 3D flow velocity and 3D sediment concentration fields; using the 3D fields to calculate fluid and sediment fluxes; updating the flow velocity and sediment concentration profiles based on the divergence of the fluxes; integrating the profiles to compute updated depth-averaged flow velocity and sediment concentrations and center of gravity; and solving the depth-averaged flow equations for the next time step.

In some embodiments, a system, as well as a method and an article, may operate to generate a first matrix, based on equations that model a reservoir, that includes mass conservation and volume balance information for grid blocks in the reservoir; to generate a second matrix, based on the first matrix, that includes saturation information and pressure information of each grid block; to remove the saturation information from the second matrix to generate a third matrix that includes only pressure information; to solve the third matrix to generate a first pressure solution; to solve the second matrix based on the first pressure solution to generate a first saturation solution and a second pressure solution; and to use the first saturation solution and the second pressure solution to generate a solution of the first matrix. Additional apparatus, systems, and methods are disclosed.

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.

Apparatus and methods to visualize formation properties and distances associated with formations can be implemented in a variety of applications. In various embodiments, one or more visualization schemes and systems arranged to implement such schemes can use a combination of visual structures to provide information about measured formations. Additional apparatus, systems, and methods are disclosed.

A smart legend groups plot lines that reflect the same type of drill string analysis. The smart legend includes parent level legend entries, each parent level legend entry including child level legend entries. The child level legend entries for a given parent level legend entry correspond to plot lines that reflect a particular type of drill string analysis. Each child level legend entry corresponds to a plot line that reflects the particular drill string analysis performed over a different depth range. This allows users easily to view and compare the analyses at the different drilling depth ranges.

Systems and methods for determining non-linear petrofacies using cross-plot partitioning to define petrofacies boundaries that distinguish the petrofacies by appearance and/or composition using systematic and automated data analysis techniques.

Embodiments of the subject technology for deep learning based reservoir modelling provides for receiving input data comprising information associated with one or more well logs in a region of interest. The subject technology determines, based at least in part on the input data, an input feature associated with a first deep neural network (DNN) for predicting a value of a property at a location within the region of interest. Further, the subject technology trains, using the input data and based at least in part on the input feature, the first DNN. The subject technology predicts, using the first DNN, the value of the property at the location in the region of interest. The subject technology utilizes a second DNN that classifies facies based on the predicted property in the region of interest.