Abstract: The disclosure presents a technique to generate a fracture model using a differential stress map and model inputs. The technique simulates the fracture model using fracture fronts, initiated at perforations of a perforation stage of a hydraulic fracturing (HF) wellbore. Each fracture front is evaluated using a propagation step of a fracture model process. Using the relative differential stress states, a fracture pattern is composited to the fracture model. At each propagation step, the total energy available from the simulated HF fluid being pumped into the wellbore location is reduced by the amount necessary to generate the computed fractures. Once the remaining energy is reduced to a level where no further fractures can be created, or if a map boundary is encountered, the fracture model process terminates. The generated fracture model can be communicated to update HF job plans, wellbore placements, and other uses of the fracture model.

Abstract: The present disclosure provides a multi-scale three-dimensional (3D) engineering geological model construction system and method. A regional geological model of a target region, a site geological model of each engineering site, and a drilling geological model of each drilling well are constructed. The geological model of each drilling well is superimposed to the site geological model of the corresponding engineering site in the way of step-by-step superimposition, and the site geological model of each engineering site fused with the drilling geological model is superimposed to the regional geological model of the target region. Thus, multi-scale geological model fusion of drilling well, engineering site, and regional mountain is realized.

Abstract: A method of automatically generating AutoCAD drawings includes: receiving, by a receiving unit, a data sheet generated only with input data necessary for drawing a column from strength calculation data for the column provided by a strength calculation program; loading, by a loading unit, the input data; and generating AutoCAD drawings of the column by activating an automatic AutoCAD drawing generation interface by a user's selection after the input data is loaded, the automatic AutoCAD drawing generation interface being activatable only after the input data is loaded.

Abstract: A system for analyzing operational data associated with a plant that has processing equipment configured and controlled to run a process involving at least one tangible material. Actual operational data corresponding to plant operations is received by a computing device that may relate to production, equipment, workforce, automation systems, safety, and/or cybersecurity of the plant. A model of the plant is generated based on the actual operational data, where the model indicates ideal plant operations including model operational data. The actual plant operational data and the model operational data are compared. Based on the operational data and the comparison of the operational data to model operational data, at least one recommendation for an action associated with the plant is determined.

Abstract: A method includes designing a lower completion string for a multi-stage hydraulic fracturing job for a wellbore drilled into a subterranean zone. The lower completion string includes a plurality of stages and a plurality of packers configured to isolate each of the stages. Each stage of the plurality of stages includes a respective tubular stage assembly, and each stage is configured to be placed within a respective one of a plurality of frac intervals of the wellbore defined by the plurality of packers. Designing the lower completion string includes, for each stage of the plurality of stages, receiving a measured hole diameter of the respective one of the plurality of frac intervals and performing an axial safety factor analysis of the stage.

Abstract: Methods and systems are provided for characterizing a subterranean formation that involve the generation of four 3D geological model of the formation that are updated before and after an enhanced hydrocarbon production process.

Abstract: The present invention is directed to an improved smart green power node using predictive switching, predictive operation at a daily and hourly level, and both grid connected and island operating modes with built-in cybersecurity.

Abstract: A method and system for modeling a subsurface region include applying a trained machine learning network to an initial petrophysical parameter estimate to predict a geologic prior model; and performing a petrophysical inversion with the geologic prior model, geophysical data, and geophysical parameters to generate a rock type probability model and an updated petrophysical parameter estimate. Embodiments include managing hydrocarbons with the rock type probability model.

Abstract: Methods and systems for producing orthodontic appliances are provided herein utilizing iterative modeling techniques to increase the efficiency and efficacy of said appliances. Further disclosed herein are the orthodontic appliances fabricated from such methods.

Abstract: A method may include obtaining wellhead temperature data from a wellhead coupled to a wellbore. The method may further include obtaining production data regarding the wellhead. The method may further include obtaining water cut data from the wellhead. The method may further include calibrating a production model for the wellhead based on the production data and the wellhead temperature data to generate a calibrated production model. The method may further include determining a predicted production rate of the wellhead using the calibrated production model, the water cut data, and flowing wellhead temperature data.

Abstract: A computer-aided design (CAD) system may support spatially-aware detection of trapped support areas in 3D printing. The CAD system may detect trapped support areas in the surface mesh in that detected trapped support area do not have linear access to an opening in the surface mesh, including by surrounding the surface mesh with a virtual bounding box that encloses the surface mesh, mapping the virtual bounding box and surface mesh into a 3D cube space, and tracking mesh cubes and bounding cubes of the 3D cube space. For a given mesh face of the surface mesh, The CAD system may determine whether the given mesh face is part of a trapped support area by projecting a ray from the given mesh face and assessing the given mesh face as part of a trapped support area based on the ray passing through a mesh cube or a bounding cube.

Abstract: The invention discloses a mechanics calculation method of drill bit tooth considering rock dynamic strength and mixed crushing mode, including: Step S1: selecting a target drill bit tooth and a target rock, and determining a type of target drill bit tooth, a geometry of the target drill bit tooth, a rock type and rock parameters of the target rock; Step S2: calculating a horizontal cutting force of the target drill bit tooth according to a horizontal cutting mechanics calculation method of drill bit tooth; Step S3: calculating a vertical penetration force of the target drill bit tooth according to a vertical penetration mechanics calculation method of drill bit tooth; Step S4: calculating a resultant force experienced by the target drill bit tooth according to a resultant force calculation method of drill bit tooth. The invention provides a calculation method for accurately obtaining drill bit tooth mechanics under different working conditions.

Abstract: Methods and systems, including computer programs encoded on a computer storage medium can be used for generating dynamic reservoir descriptions using geostatistics in a geological model. Data processing techniques can be used by a computing system to automate processes for generating, and updating (e.g., in real-time), subsurface reservoir models. An integrated methodology and hardware systems are described for determining properties of a reservoir in a subterranean region using a geological model based on seismic data and transient pressure data. The methodology and automated approaches employ technologies relating to machine learning and artificial intelligence (AI) to process seismic data and information relating to seismic facies.

Abstract: A method for determining tortuosity, e.g., in an oilfield well includes obtaining a planned trajectory for a hole, and obtaining a first survey of the hole using a sensor deployed into the hole. The first survey includes a first surveyed position at a first depth of the hole and a second surveyed position at a second depth of the hole, and no surveyed positions between the first and second depths. The method further includes simulating a second survey of the hole between the first and second depths using a model. The second survey includes a plurality of simulated positions of the hole between the first and second depths. The method includes determining that the simulated position at the second depth is proximal to the second surveyed position, and visualizing a trajectory of the hole based on the first and second surveys.

Abstract: Geomechanical parameters can be used to optimize a well configuration that includes one or more projected wells having locations and geometries. Formation data and regional stress information of a formation can be used to determine a local stress variation of the formation. A quality index can be generated by combining petrophysical properties with the local stress variation. Hydrocarbon recovery flow simulations can be generated by generating well configuration models based on the quality index, generating reservoir geomechanical model that includes hydraulic fracture propagation characteristics, determining new hydraulic fractures by simulating propagation through the reservoir geomechanical model and using geomechanical rules, and determining a projected hydrocarbon recovery rate by simulating flow with the new hydraulic fractures. A well placement plan can be selected using the projected hydrocarbon recovery rates. The well placement plan can be output to be used to plan one or more wellbores.

Abstract: A three-dimensional grid of a hydrocarbon reservoir can be received. The three-dimensional grid can include a plurality of cells, each cell of the plurality of cells can include a first index value, a second index value, and a third index value. The first index value, the second index value, and the third index value of each cell can together uniquely identify each cell of the plurality of cells. Each cell can further include at least one parameter measured from the hydrocarbon reservoir. A hydrocarbon saturation distribution of the hydrocarbon reservoir can be determined using a saturation height function and the at least one parameter of each cell of the plurality of cells. The hydrocarbon saturation distribution can include a cell hydrocarbon saturation estimate for each cell of the plurality of cells. The hydrocarbon saturation distribution can be provided. Related apparatus, systems, techniques and articles are also described.

Abstract: A method includes generating a ranging model of a drilling wellbore to be drilled and generating a predicted signal along measured depths of the drilling wellbore based on the ranging model. The method includes performing the following operations until the drilling wellbore has been drilled to a defined depth. The following operations include drilling, with a drill string, the drilling wellbore to an increment of the defined depth and detecting, by a sensor positioned on the drill string, an electromagnetic field emanating from a target wellbore. The following operations include determining ranging measurements to the target wellbore at the increment based on the electromagnetic field and calibrating the predicted signal based on the ranging measurements. The following operations include determining ranging accuracy for all deeper depths in the wellbore and making drilling decisions or adjusting drilling operations based on the predicted ranging accuracy for deeper depths.

Abstract: In an embodiment, an agricultural intelligence computing system stores a digital model of crop growth, the digital model of crop growth being configured to compute nutrient requirements in soil to produce particular yield values based, at least in part, on data unique to an agricultural field. The system receives agronomic field data for a particular agronomic field, the agronomic field data comprising one or more input parameters for each of a plurality of locations on the agronomic field, nutrient application values for each of the plurality of locations, and measured yield values for each of the plurality of locations. The system computes, for each location of the plurality of locations, a required nutrient value indicating a required amount of nutrient to produce the measured yield values. The system identifies a subset of the plurality of locations where the computed required nutrient value is greater than the nutrient application value.

Abstract: The present disclosure describes systems and techniques that enhance effectiveness and efficiency of a contingency analysis tool that is used for studying the magnitude and likelihood of extreme contingencies and potential cascading events across a power system. The described systems and techniques include deploying the contingency analysis tool in a high-performance computing (HPC) environment and incorporating visual situational awareness approaches to allow power system engineers to quickly and efficiently evaluate multiple power system simulation models. Furthermore, the described systems and techniques include the power system contingency-analysis tool calculating and coordinating protection element settings, as well as assessing controls of the power system using small-signal nomograms, allowing power system engineers to more effectively comprehend, evaluate, and analyze causes and effects of cascading events against a topology of a power system.

Abstract: A method including performing a simulation to evaluate a plurality of metrology targets and/or a plurality of metrology recipes used to measure a metrology target, identifying one or more metrology targets and/or metrology recipes from the evaluated plurality of metrology targets and/or metrology recipes, receiving measurement data of the one or more identified metrology targets and/or metrology recipes, and using the measurement data to tune a metrology target parameter or metrology recipe parameter.