A methodology for providing set-point recommendations in an automated manner to optimize the operation of a well-producing fluid, by establishing a live synergy between physics-based simulation and real-time field data, through the employment of machine learning models. The machine learning models serve two distinct purposes in this approach: 1. Accelerate emulation of the numerical physics-based simulation to enable real-time solutions 2. Provide a probabilistic estimate of the unknown operating conditions of a well and updating the estimate based on the response to the set-point changes made, thus improving with each iteration.

A system for transporting corrosive or erosive fluids having a conduit or flow equipment with a flow bore, comprising; a flexible pipe, an adapter, an end connector, a clamp connector, insert(s), and a metal spacer. Insert(s) comprise an erosion resistant coating disposed around the internal structure that is a spring or helical structure. The insert(s) is/are disposed inside the flow bore and provide erosion and/or corrosion resistance.

Techniques including methods, apparatus and computer program products are disclosed for determining an amount of hydrocarbon recoverable from porous reservoir rock by a miscible gas flood. The techniques include retrieve a representation of a physical porous reservoir rock sample (porous reservoir rock), the representation including pore space and grain space data corresponding to the porous reservoir rock, subsequent to an execution of a multiphase flow simulation to obtain predictions of flow behavior of oil in the presence of a waterflood of the porous reservoir rock, locate substantially immobile oil blobs or patches in the retrieved representation of the porous reservoir rock; and for N number of substantially immobile oil blobs or patches (blobs), evaluate changes in mobility of the blobs for two or more iterations an effort level for of a given EOR technique, with a first one of the two or more iterations expending a first level of effort and a second one of the two or more iterations expending a second, higher level of effort, to estimate an amount of change in mobilization of the blob between the first and the second iterations for the given EOR technique.

A process for use in managing a hydrocarbon production system includes: selecting, from among a plurality of changes proposed to operating parameters of the hydrocarbon production system, the proposed change with the greatest estimated positive change in production; assessing whether the selected change violates an operating constraint; based on said assessment, producing a valid change based on at least the selected change or identifying the selected change as an unusable change, iterating the above steps, the iteration excluding the valid change from the plurality of proposed changes; and implementing at least one valid change, the number of implemented valid changes being less than the number of proposed changes.

The invention solves the problem of the difficulty of acquiring subsea variables by using a widely available surface variable, namely the pressure upstream of the choke valve. As surface variables have an unfavorable dynamic for use in conventional anti-slug controllers, which are based on the linear PID algorithm, the proposed controller uses a hybrid fuzzy-PID architecture, which compensates for the unfavorable dynamic of the controlled variable by means of heuristic interventions in the control action generated by the PID part of the controller. The heuristic action of the proposed controller allows it to be more robust than a conventional controller, even with a relatively slow control action, which makes it possible to apply the proposed algorithm in systems whose choke valve activation is slow. Thus, the two largest impediments for installation of conventional controllers, lack of subsea measurement and choke valve slowness, do not pose a problem for application of the proposed algorithm. This allows the proposed anti-slug controller to be used in offshore production systems without the need for physical intervention in the subsea or surface facilities.

A flow control assembly including a subassembly including an annular safety valve, a shroud, a bushing connecting the shroud to the subassembly at one of two opposing ends of the shroud, and another bushing connecting the shroud to the subassembly at the other of the two opposing ends of the shroud. The method for operating a hydrogen storage and production system including pumping hydrogen into the salt cavern for storage through a borehole and producing hydrogen from the salt cavern through the same borehole.

The present invention relates to an automatic history matching system for an oil reservoir based on transfer learning, comprising a data reading module, a population reinitializing module, an optimization module, a simulated calculation module, a comparative judgment module and an output module, wherein the data reading module reads an optimized result of an existing oil reservoir, outputs the optimized result to the population reinitializing module, obtains an initial population of a new oil reservoir by calculation and outputs the initial population to the optimization module; the optimized result is outputted to the simulated calculation module to obtain oil reservoir production simulated data, and the oil reservoir production simulated data is outputted to the comparative judgment module; when an error between the simulated data and observed data meets the requirement, the optimized result is outputted to the output module, and the system operation is completed; and if the error does not meet the requirement, optimization will be performed again. The present invention may construct the initial population closer to the optimized result by using experience of adjusting a history matching model in an old example oil reservoir model according to the matching experience of an existing model, and can be integrated with any one evolutionary optimization algorithm, so the system is more suitably applied to an actual engineering problem.

A method and a system to determine fracture properties during standard operations and injection tests. Fracture compliance, fracture closure pressure, and perforation friction can be determined using a combination of acoustic data, pressure decay data, and wellbore models. A method of automating and adjusting fracture design in real-time. A method and system to recover active, single active pulse data from a background noise dataset.

Methods and systems for predicting hydrocarbon production and production uncertainty are disclosed. Exemplary implementations may: obtain training data, the training data including (i) training production data, (ii) training engineering parameters, and (iii) a training set of geological parameters and corresponding training geological parameter uncertainty values; obtain an initial production model; generate a trained production model by training the initial production model; store the trained production model; obtain a target set of geological parameters and corresponding target geological parameter uncertainty values and target engineering parameters; apply the trained production model to generate a set of production values and corresponding production uncertainty values; generate a representation using visual effects to depict at least a portion of the set of production values and corresponding production uncertainty values as a function of position within the subsurface volume of interest; and display the representation.

This invention relates to treated geothermal brine compositions containing reduced concentrations of lithium, iron and silica compared to the untreated brines. Exemplary compositions contain concentration of lithium ranges from 0 to 200 mg/kg, concentration of silica ranges from 0 to 30 mg/kg, concentration of iron ranges from 0 to 300 mg/kg. Exemplary compositions also contain reduced concentrations of elements like arsenic, barium, and lead.