A method includes receiving measurement data from multiple sensors positioned along a delivery line that delivers a liquid as a gas to one of a gas panel or a processing chamber; simulating, using a computer-generated model, one or more process parameters associated with the delivery line and a plurality of heater jackets positioned around the delivery line; comparing the measurement data with values of the one or more process parameters; and determining, based on at least a threshold deviation between the measurement data and the values of the one or more process parameters, that a fault exists that is associated with maintaining temperature within the delivery line consistent with a gaseous state of the liquid.

The present disclosure provides a parameter design and numerical simulation method for jet trencher nozzle, comprising the following steps: S1. designing parameters of nozzle; S2. selecting the parameters of nozzle; S3. establishing a geometric model; S4. setting boundary conditions and delineating grids; S5. performing numerical simulation using Flow-3D; and S6. performing results processing and analysis. According to the present invention, the whole process of nozzle flushing and ground breaking can be simulated, the size of the cross-section of the flushing trench is measured, and by analyzing the obtained result, the reasonability of nozzle radius parameter design can be verified, and a certain reference is provided for design of inclination angle parameters.

A method may include obtaining model data for a reservoir region of interest. The model data may include flow property data based on streamlines. The method may further include generating a multilevel coarsening mask describing various coarsening levels that correspond to different flow values among the flow property data. The method may further include generating a coarsened grid model using the model data and the multilevel coarsening mask. The method may further include performing a reservoir simulation of the reservoir region of interest using the coarsened grid model.

The invention discloses a full wellbore pressure calculation method, device and computer-readable storage medium for fracturing horizontal wells, includes steps: collect basic parameters, establish fully implicit numerical model of formation flow; solve the full implicit numerical model under an inner boundary condition of a constant gas production rate; calculate wellbore pressure change of each fracturing section of horizontal well; calculate the bottom-hole pressure of each fracture initiation point; repeat steps until the variables converge, the bottom-hole flow pressure and the bottom-hole pressure at each fracture initiation point are obtained at this time step; the wellbore pressure and wellhead casing pressure are calculated at this time step. The method is for predicting the variation law of full wellbore pressure and wellhead casing pressure by using production data in the absence of bottom-hole pressure test data, and has practical value for accurate prediction of production performance of gas reservoir fracturing horizontal wells.

A system for creating a 4D guided history matched model may include a network of saturation sensors and a model processing hub. The saturation sensors may identify water production rates. The model processing hub may be in communication with the network of saturation sensors and may include a reservoir simulation model and a processor. The processor of the model processing hub may build a 4D saturation model, compare the reservoir simulation model and the 4D saturation model to generate a saturation Δ, calculate updated permeability distribution data, and update the reservoir simulation model with the updated permeability distribution data to create the 4D guided history matched model. A method of creating a 4D guided history matched model may include comparing a reservoir simulation model and a 4D saturation model, calculating updated permeability distribution data, and updating the reservoir simulation model to create the 4D guided history matched model.

An information processing device includes; a memory; and a processor coupled to the memory and configured to: optimize performance of a mixture of a plurality of substances; in an energy function formula for weighting each of a plurality of physical properties in the mixture and performing a calculation to optimize the performance of the mixture, collectively incorporate a plurality of the physical properties that has a relationship correlated with one characteristic among the plurality of the physical properties into the energy function formula as the one characteristic; and simplify the energy function formula.

The present invention relates to a system and method for modelling flow conditions in a well system, the well system being represented by a number of branches (1,1a) conducting hydrocarbons from at least one branch entry point (3,3a) to a branch exit point (2), at least one of said branches constituting a global well system exit point, wherein each branch has a branch entry point (3,3a) being provided with a least one flow inlet (4) and being related to known boundary conditions and with a input flow control unit (7) being related to adjustable flow characteristics for controlling the flow through said input, said boundary conditions including predetermined data concerning at least one of pressure, temperature and flow at said input flow control unit, and said branch conduit includes an branch flow control unit (6), having adjustable flow characteristics for controlling the flow through the branch.

A system and method for simulation of fluid flow. The system being configured to remove loops in a vortex filament in a simulation model and reconnect the filament. The system may also be configured to model fluid flow in relation to a moving object and to correct errors in surface vorticity.

A global fluid identity repository is used to maintain and manage fluid characterization data for various fluids utilized in the oil & gas industry, e.g., reservoir fluids within subsurface formations. Tracking and notification services may be utilized to track changes made to a global fluid identity, e.g., changes in fluid sample and/or experiment data for a fluid, and automatically generate notifications when downstream data such as fluid models and/or simulation results become stale as a result of these changes.

A comprehensive reconstruction method for long-series sediment data in data-lacking areas includes steps of: collecting hydrological and sediment data of a target river section; calculating sediment data in data-rich years with a flow-sediment content annual relationship curve method; calculating sediment data in only water quality and sediment test years with a correlation method between water quality and sediment data and hydrological station sediment data; calculating sediment data in data-lacking years with an adjacent station same year flow-sediment content relationship curve method; and calculating sediment data in remaining years with a multi-year average flow-sediment content relationship curve method. The method comprehensively adopts four methods to reconstruct the long-series sediment data based on sediment actual observation and characteristics in the data-lacking areas, which can make up for the limitations and deficiencies between the four methods, and the required data is easier to collect than those in the conventional methods.