Methods and systems are provided for designing and determining a well service in the presence of loss, including the volume, rates, and duration of pumping of fluids in the presence of losses. A method of designing services for wellbores includes calibrating a loss circulation model with input comprising wellbore state to update the loss circulation model with formation loss zone characteristics; applying the loss circulation model to output at least a prediction of loss rate; and designing a wellbore service at least partially based on the prediction of the loss rate.

A computer implemented method for drainage tile planning includes steps of presenting a first user interface to a user associated with a field in which drainage tile is to be installed and defining a set of drainage tile plan requirements by receiving through the first user interface and from the user associated with the field by: defining a boundary around the field by displaying a map including the field and receiving through the first user interface and from the user associated with the field a plurality of selections by the user associated with the field of edges of the field displayed on the map, and defining at least one desired drainage outlet position within the field by receiving through the user interface and from the user associated with the field a selection of the at least one desired drainage outlet position on the map.

Methods and apparatus for generating one or more reservoir 3D models are provided. In one or more embodiments, a method can include training a first machine learning model to generate one or more integrated enhanced logs based, at least in part, on an integrated data set, wherein the integrated data set includes seismic data and well log data; generating one or more integrated enhanced logs from the first machine learning model; grouping the one or more integrated enhanced logs into an ensemble of integrated enhanced logs to form a static reservoir 3D model of a subterranean reservoir; inputting additional data to the first machine learning model to produce one or more updated integrated enhanced logs; and grouping the one or more updated integrated enhanced logs into an ensemble of updated integrated enhanced logs to form an updated 3D model.

A computer-implemented method for civil engineering is described that includes obtaining a watershed segmentation of a terrain. The watershed segmentation includes basins. The method further includes merging first basins of the watershed segmentation that each verify a smallness criterion, each with a second basin downstream to the first basin.

A method includes, accessing a first fill level timeseries generated by a first refrigeration system; detecting a first reduction in refrigerant fill level in the first refrigeration system; correlating the first reduction in refrigerant fill level with a first refrigerant; accessing a first discharge pressure timeseries; deriving a first correlation between a first leak-prediction characteristic of the first discharge pressure timeseries and the first refrigerant leak; accessing a discharge pressure timeseries generated by a second refrigeration system; in response to detecting presence of the first leak-prediction characteristic in the third discharge pressure timeseries, predicting a second refrigerant leak in the second refrigeration system; generating a notification identifying the second refrigerant leak in the second refrigeration system; and serving the electronic notification to an operator associated with the second refrigeration system.

A method for monitoring waterfront movement in a subsurface formation involves performing forward modeling of at least one deep electromagnetic survey of the waterfront movement, and determining locations for installing an electrically insulating spacer between well liners to form an on-demand electromagnetic source electrode. Based on the forward modeling, repeat survey time intervals are predicted. The method involves, during well completion, installing the electrically insulating spacer between the well liners in a reservoir to form at least one on-demand electromagnetic source electrode, and installing the electrically insulating spacer between the plurality of well liners in a reservoir to form an on-demand electromagnetic receiver electrode. A waterfront survey is performed by conveying a production logging tool into a well that temporarily converts the well liners into an on-demand electromagnetic source electrode and an on-demand receiver electrode, and inverse modeling of the waterfront survey is performed to produce a water saturation image.

A method for simulating fluid surfaces in real-time in response to user input includes detecting interactive conditions triggering insertion of a heterogeneous mesh sequence in a 3D model sequence for rendering, fetching ones of the heterogenous mesh sequence from a computer memory, inserting the successive members in corresponding representations of the 3D model sequence in a computer memory, and rendering successive video frames from the representations of the 3D model sequence each including a successive member of the heterogenous mesh sequence. A related method for generating a compact heterogeneous mesh sequence for use in rendering corresponding frames of video includes generating a heterogenous mesh sequence modeling response of a fluid surface to physical forces, the heterogenous mesh sequence characterized by position values represented in computer memory by not less than 12 bytes for each vertex thereof, transforming the heterogenous mesh sequence into the compact heterogeneous mesh sequence, at least in part by quantizing the position values to not greater than four bytes, and storing the compact heterogeneous mesh sequence in a computer memory for use in real-time rendering.

A simulation device that reduces the computation load required for simulation of the movement of an operation subject is provided. The simulation device includes a processor configured to set framing conditions for a model representing the operation subject, set conditions for external force applied to the operation subject, simulate the movement of the operation subject under the framing conditions and the conditions for external force, generate learning data that includes data representing the framing conditions, the conditions for external force, and the movement of representative points located on the surface of the operation subject during simulation of the movement of the operation subject, and by supervised learning using the learning data, generate a learning model that takes the framing conditions, the conditions for external force, and the initial conditions of the representative points as input and outputs data representing the movement of the representative points.

A system and method for simulating multiple dynamic flows involving movement over time, for example, of water and other fluids, air or wind, fire, or the like, is disclosed. The system and method are a visualization and simulation platform designed to create and execute an approach using deep-learning, computer vision, image processing, and artificial intelligence for predicting all manners of dynamic physical motion over time. The visualization and simulation system is configured to quickly model and predict dynamical physical phenomena including, but not limited to, movement of water or air flow or fire in any topography. The visualization and simulation system predicts flooding behavior patterns in known geographical domains (regions and/or areas where the deep-learning system has been explicitly trained on) as well as unknown geographical domains (regions and/or areas where the deep-learning system has not been previously exposed or trained on) by providing time-dependent two-dimensional hydrodynamic flooding predictions.

One or more methods of designing an FC bipolar plate that enhance the operational performance of FC. A first image analysis is conducted of image data of a fluid flow field structure having one or more dehomogenized microstructures to identify channels having a fluid flow blockage at a channel wall dead-end. The channel wall dead-end of each identified channel is selectively removed in a manner that fluidically connects each identified channel to an adjacent channel. Then, a second image analysis of the image data is conducted in response to selectively removing the channel wall dead-ends to measure a length of each channel wall. Channels walls having a length greater than a threshold channel wall length value are selectively cut, thereby providing reduced fluid flow resistance throughout the FC.