Read Online or Download Applied Parameter Estimation for Chemical Engineers (Chemical Industries) PDF

Similar petroleum books

Heterogeneous Catalysis in Organic Chemistry by Gerard V. Smith PDF

For the complex natural chemistry researcher who's getting into the fantastic international of heterogeneous catalysis generally - and heterogeneous hydrogenation particularly - there is not any unmarried source comparable to this to consultant him. operating within the box of heterogeneous hydrogenation myself, I had felt glossy, up to date, readable textual content used to be lengthy past due.

Water Hammer in Pipe-Line Systems by J. Záruba PDF

The actual rules of water hammer are defined during this quantity. the elemental mathematical equipment of answer of water hammer and methods of restricting its results are coated. exact description is given of the tactic of features and the corresponding courses for private desktops, which allows resolution of water hammer in a wide selection of hydraulic platforms encountered in perform.

Get Reservoir sandstones PDF

Prentice corridor collage Div, 1985. Hardcover. booklet situation

Subsea Pipeline Engineering by Andrew C. Palmer PDF

«Subsea Pipeline Engineering» was once the 1st of its type, written by means of of the worlds most useful experts in subsea pipeline engineering. within the upcoming moment version, those veterans have up-to-date their definitive reference e-book, protecting the whole spectrum of matters within the self-discipline, from direction choice and making plans to layout, building, install, fabrics and corrosion, inspection, welding, fix, probability evaluate, and appropriate layout codes and criteria.

• Fouling in Refineries
• Mercury Control: for Coal-Derived Gas Streams
• Environmental Analysis and Technology for the Refining Industry
• Petroleum Refining, Volume 1 - Crude Oil, Petroleum Products, Process Flowsheets
• Sandstone Petroleum Reservoirs
• Computational Rheology for Pipeline and Annular Flow: Non-Newtonian Flow Modeling for Drilling and Production, and Flow Assurance Methods in Subsea Pipeline Design

Extra info for Applied Parameter Estimation for Chemical Engineers (Chemical Industries)

Sample text

E.. 2c) A single experiment consists of the measurementof each of the m response variables for a given set of values of the n independent variables. For each experiment, the measured output vector which can be viewed as a random variable is comprised of the deterministic part calculated by the model (Equation 2. 3 represents only measurement errors. As such, it can often be assumed to be normally distributed with zero mean (assuming there is no bias present in the measurement). In reallife the vector E, incorporates not only the experimental error but also any inaccuracyof the mathematical model.

This approach can actually aid us i n establishing guidelines for the selection of the weighting matrices QIin least squares estimation. Case I: Let us consider the stringent assumption that the error terms in each response variable and for each experiment (qj, i=l,. N; j=l,. d) normally with zero mean and variance, 0: . 23) where I is the m x m identity matrix. 21 yields . 24) Obviously minimization of SML(k)in the above equation does not require the prior knowledge of the common factor 0:. Therefore, under these conditions the ML estimation is equivalent to simple LS estimation (QI=l).

The user-supplied weighting matricesdiffer from experiment to experiment. Of course, it is not at all clear how one shouldselect the weighting matrices Q,, i=l,. ,N, even for cases where a constant weighting matrix Q is used. Practical guidelines for the selection of Q can be derived fiom Maximum Likelihood {ML) considerations. 4MaximumLikelihood(ML)Estimation If the mathematical modelof the processunder consideration is adequate, it is very reasonable to assume that the measured responses fiom the ith experiment are normally distributed.

Download PDF sample