Method for maximizing the reaction volume in a slurry phase reactor by determining the ratio (f) between the height of the foams (H.sub.f) and the height of the reactor (H.sub.R) through an algorithm defining the gas hold-up in three zones, a first lower zone in which a bubble regime is established, a second intermediate zone where there can be the presence of foams, a third zone situated in the upper hemispherical part in which the multiphase mixture is accelerated until it reaches outlet conditions, the average gas hold-up being given by the weighted average of each of the three gas hold-ups of the three zones, characterized in that it uses nuclear densimeters positioned inside the reactor at different heights and comprises: measuring, for each nuclear densimeter used, gas density values, relating to different gas and/or slurry velocities, which correspond through said algorithm to calculated gas hold-up values, revealing, with a calculated gas hold-up of less than 40%, the absence of foams at least up to the height at which the densimeter is positioned, whose density measured corresponds to said gas hold-up, with a calculated gas hold-up higher than 70%, the presence of foams starting at least from the height of the reactor in which the densimeter is positioned, whose density measured corresponds to said gas hold-up, finally, determining through said algorithm, the ratio f and the extension in height of the possible presence of foams, calculating the consequent height H.sub.f.

Methods of controlling olefin polymerization reactor systems may include a) selecting n input variables, each input variable corresponding to a process condition for an olefin polymerization process; b) identifying m response variables corresponding to a measurable polymer property; c) adjusting one of more of the n input variables using the olefin polymerization reactor system and measuring each of the m response variables as a function of the input variables for olefin polymers; d) analyzing the change in each of the response variables as a function of the input variables to determine coefficients; e) calculating a Response Surface Model (RSM) for each response variable determined in step d); f) applying n selected input variables to the calculated RSM to predict one or more of m target response variables; and g) using the n selected input variables to operate the olefin polymerization reactor system and provide a polyolefin product.

Techniques regarding the synthesis of one or more polymers of a target polymer class are provided. For example, one or more embodiments described herein can comprise a system, which can comprise a memory that can store computer executable components. The system can also comprise a processor, operably coupled to the memory, and that can execute the computer executable components stored in the memory. The computer executable components can comprise a recommendation component that can generate a recommended chemical reactor control setting for inverse synthesis of a polymer based on a target polymer characteristic and reactor training data.

The invention provides a method for controlling an automated chemistry platform using synthetic procedures written in natural language. The method uses natural language processing (NLP) techniques to interpret a synthetic procedure written in natural scientific language and extracts a machine-readable instruction set comprising the distinct operations necessary for carrying out the synthesis on an automated chemical synthesis platform. The method optionall also includes the step of executing the machine-readable instruction set on an automated chemical synthesis platform.

A flow reaction facility 10 includes a reaction section 23, a collecting section 26, a system controller 15, a first flow velocimeter to a third flow velocimeter 35a to 35c, a thermometer 35d, and a soft sensor 38. The first flow velocimeter to the third flow velocimeter 35a to 35c and the thermometer 35d detect reaction conditions in the reaction section 23, and output the detected reaction conditions as detection information. The soft sensor 38 applies the above detection information to a prediction function generated in advance using measurement data, and calculates a reaction result in the reaction section 23 as an arithmetic reaction result. The system controller 15 controls the reaction section 23 on the basis of the arithmetic reaction result.

A system and method is provided for upgrading a continuously flowing process stream including heavy crude oil (HCO). A reactor receives the process stream in combination with water, at an inlet temperature within a range of about 60° C. to about 200° C. The reactor includes one or more process flow tubes having a combined length of about 30 times their aggregated transverse cross-sectional dimension, and progressively heats the process stream to an outlet temperature T(max)1 within a range of between about 260° C. to about 400° C. The reactor maintains the process stream at a pressure sufficient to ensure that it remains a single phase at T(max)1. A controller selectively adjusts the rate of flow of the process stream through the reactor to maintain a total residence time of greater than about 1 minute and less than about 25 minutes.

An oxidation-reduction desulfurization system includes a reactor vessel with sour gas inlet at the bottom and a gas outlet at the top. A primary stage phase separator includes a vertically-oriented pipe with an inlet located inside the reactor vessel. The ratio of the reactor vessel diameter to the pipe inlet diameter is in a range of 2:1 to 5:1. Surface foam and non-gaseous multi-phase mixture including emulsion flow into a partially gas-filled upper section of the vertically-oriented pipe and freefall to a lower level, thereby facilitating mechanical breaking of the foam and the emulsion. A secondary stage phase separator connected to the gas outlet separates non-gaseous surge from sweet gas. Valves and a controller automatically maintain target levels of the non-gaseous multi-phase mixture and non-gaseous surge.

Methods of controlling olefin polymerization reactor systems are provided herein. In some aspects, the methods include a) selecting n input variables, each input variable corresponding to a process condition for an olefin polymerization process; b) identifying m response variables, each response variable corresponding to a measurable polymer property; c) adjusting one of more of the n input variables in a plurality of polymerization reactions using the olefin polymerization reactor system, to provide a plurality of olefin polymers and measuring each of the m response variables as a function of the input variables for each olefin polymer; d) analyzing the change in each of the response variables as a function of the input variables to determine the coefficients; e) calculating a Response Surface Model (RSM) using general equations for each response variable determined in step d) to correlate any combination of the n input variables with one or more of m response variables; f) applying n selected input variables to the calculated Response Surface Model (RSM) to predict one or more of m target response variables, each target response variable corresponding to a measurable polymer property; and g) using the n selected input variables I.sup.s1 to I.sup.sn to operate the olefin polymerization reactor system and provide a polyolefin product.

A method for optimising the operation of a facility for catalytic reforming, the facility including a multitude of reactors which have a catalyser and through which an operating gas including hydrocarbons and molecular hydrogen successively flows, wherein the composition of the operating gas in the reactors changes and wherein a product results at the outlet side of the last reactor. Specific constant characteristics as well as initial operating parameters that are present during the operation of the facility are acquired. A computational simulation of the chemical processes in the reactors then takes place, wherein results of a measurement of the chemical composition of the product at the outlet side of the last reactor is also included. A computational simulation of the chemical processes in the reactors with different varied operating parameters is subsequently carried out and set of optimised operating parameters is determined from the computed chemical composition.

A method for continuously producing a product (A1) by way of at least two coupled-together chemical reactions (C1, C2), wherein at least two input substances (E1, E2) are fed to a first chemical reaction (C1), wherein a plurality of intermediate substances (Z1, Z2) are produced from the input substances (E1, E2) by the first chemical reaction (C1), wherein at least one of the intermediate substances (Z2) is fed to a second chemical reaction (C2), wherein the at least one fed intermediate substance (Z2) is further processed by the second chemical reaction (C2), in particular using at least one further substance (W1, W2) in a second chemical reaction (C2) to form a plurality of output substances (A1, A2), that is to say to form the chemical product (A1) and at least one further output substance (A2), wherein the flow rates (F.sub.i) of the fed substances (E1, E2, Z1, W1, W2, A2) that are fed to one of the reactions (C1, C2) are set by a respective actuating element (V.sub.E1, V.sub.E2, V.sub.W1, V.sub.W 2, V.sub.Z 2, V.sub.A1), wherein each of the fed substances is assigned a separate actuating element, wherein a manipulated variable (S.sub.E2,R, S.sub.i,R) that is stipulated by a controller (R.sub.E2, R.sub.i) is respectively applied to at least one of the actuating elements, wherein, for changing the production rate of the chemical product (A1), a temporary manipulated variable (S.sub.E2,temp, S.sub.i,temp) is respectively applied during a transient phase (II, III) to at least one of these actuating elements (V.sub.E2, V.sub.i) instead of the manipulated variables (S.sub.E2,R, S.sub.i,R) stipulated by the respective controllers (R.sub.E2, R.sub.i), wherein the temporary manipulated variable (S.sub.E2,temp, S.sub.i,temp) or the temporary manipulated variables is/are generated by at least one control unit (SE) in dependence on a default value (NV).