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Optimisation Optimised

Models may be used for process optimisation. Optimisation usually involves the influence of two or more variables, with one often directly related to profits and the other related to costs. [Pg.6]

Process optimisation optimising charge materials, charging and... [Pg.173]

Usually a company will have a portfolio of assets which are at different stages of the described life cycle. Proper management of the asset base will allow optimisation of financial, technical and human resources. [Pg.8]

It is fair to say that advances in seismic surveys over the last decade have changed the way fields are developed and managed. From being a predominantly exploration focused tool, seismic has progressed to become one of the most cost effective methods for optimising field production. In many cases, seismic has allowed operators to extend the life of mature fields by several years. [Pg.17]

To optimise the design of a well it is desirable to have an accurate a picture as possible of the subsurface. Therefore, a number of disciplines will have to provide information... [Pg.29]

The timely acquisition of static and dynamic reservoir data is critical for the optimisation of development options and production operations. Reservoir data enables the description and quantification of fluid and rock properties. The amount and accuracy of the data available will determine the range of uncertainty associated with estimates made by the subsurface engineer. [Pg.125]

By adding or subtracting parameter maps (see Figure 6.3 in Section 6.1.2) additional information can be obtained. They show trends in the parameters and are used to optimise reserves development and management. [Pg.142]

The number and shape of the grid blocks in the model depend upon the objectives of the simulation. A 100 grid block model may be sufficient to confirm rate dependent processes described in the previous section, but a full field simulation to be used to optimise well locations and perforation intervals for a large field may contain up to 100,000 grid blocks. The larger the model, the more time consuming to build, and slower to run on the computer. [Pg.205]

An example of an application of CAO is its use in optimising the distribution of gas in a gas lift system (Fig. 11.3). Each well will have a particular optimum gas-liquid ratio (GLR), which would maximise the oil production from that well. A CAO system may be used to determine the optimum distribution of a fixed amount of compressed gas between the gas lifted wells, with the objective of maximising the overall oil production from the field. Measurement of the production rate of each well and its producing GOR (using the test separator) provides a CAO system with the information to calculate the optimum gas lift gas required by each well, and then distributes the available gas lift gas (a limited resource) between the producing wells. [Pg.282]

With unlimited resources, the investor would take on all projects which meet the screening criteria. Project ranking is necessary to optimise the business when the investor s resources are limited and there are two or more projects to choose between. [Pg.324]

Artificial lift techniques are discussed in Section 9.6. During production, the operating conditions of any artificial lift technique will be optimised with the objective of maximising production. For example, the optimum gas-liquid ratio will be applied for gas lifting, possibly using computer assisted operations (CAO) as discussed in Section 11.2. Artificial lift may not be installed from the beginning of a development, but at the point where the natural drive energy of the reservoir has reduced. The implementation of artificial lift will be justified, like any other incremental project, on the basis of a positive net present value (see Section 13.4). [Pg.339]

It enables first to explain the phenomena that happen in the thin-skin regime concerning the electromagnetic skin depth and the interaetion between induced eddy eurrent and the slots. Modelling can explain impedance signals from probes in order to verify experimental measurements. Parametric studies can be performed on probes and the defect in order to optimise NDT system or qualify it for several configurations. [Pg.147]

Figure 3.3 shows the increasing attenuation for cracks in a depth between 5 and 30 mm, using the optimised excitation frequency for each depth. The coils (circular, double-D) have a current density of lOWm. In case of circular and double-D coil, this corresponds to an... [Pg.258]

An advantage of Real Time X-Ray is that since only one section of the part is inspected at the time the X-Ray parameter settings can be optimised per section. At the same time each section is irradiated almost perpendicular which gives less distortion in the image of the top and the bottom section of blades. [Pg.457]

Shear Horizontal (SH) waves generated by Electromagnetic Acoustic Transducer (EMAT) have been used for sizing fatigue cracks and machined notches in steels by Time-of-Flight Diffraction (TOED) method. The used EMATs have been Phased Array-Probes and have been operated by State-of-the-art PC based phased array systems. Test and system parameters have been optimised to maximise defect detection and signal processing methods have been applied to improve accuracy in the transit time measurements. [Pg.721]

Prompted by the success, TOFD measurements were conducted on a fatigue crack in a stainless steel compact tension specimen. Test and system parameters were optimised following the same procedure used for carbon steel specimens. A clear diffracted signal was observed with relatively good SNR and its depth as measured from the time-of-flight measurements matched exactly with the actual depth. [Pg.725]

The transducer parameters (position, frequency, diameter) are optimised in order to obtain a sound beam which enables a good echo from the crack. [Pg.761]

In order to optimise the general on-site system performance, time and resource consuming motion calculations are done immediately after execution of the previous path in the current scaiming program - simultaneously with the storing of digital A-scan data by the PS-4 system. [Pg.872]

Optimised robot motion calculations in order to reduce inspection time further. [Pg.873]

These are just a few examples, but there are many more. At the moment. Joint Industry Projects are underway to identify and validate NDT methods for certain applications, and to optimise them where necessary. [Pg.951]

OPTIMISE, a joint industry project, supported by EC-ESPRIT funding is such a project, where techniques are identified, optimised and validated for the inspection of bulk carriers, with the aim to increase the inspection scope and thus the safety level, at the same time reducing the time needed for the inspections. [Pg.951]


See other pages where Optimisation Optimised is mentioned: [Pg.277]    [Pg.5]    [Pg.30]    [Pg.50]    [Pg.75]    [Pg.136]    [Pg.182]    [Pg.229]    [Pg.281]    [Pg.281]    [Pg.337]    [Pg.341]    [Pg.341]    [Pg.341]    [Pg.41]    [Pg.209]    [Pg.212]    [Pg.214]    [Pg.215]    [Pg.259]    [Pg.323]    [Pg.445]    [Pg.457]    [Pg.585]    [Pg.722]    [Pg.723]    [Pg.723]    [Pg.725]    [Pg.725]    [Pg.728]    [Pg.735]    [Pg.769]    [Pg.802]   
See also in sourсe #XX -- [ Pg.41 , Pg.44 , Pg.92 , Pg.106 , Pg.131 , Pg.176 , Pg.235 , Pg.288 , Pg.456 , Pg.502 , Pg.516 , Pg.521 , Pg.522 , Pg.529 , Pg.546 , Pg.555 , Pg.619 , Pg.621 , Pg.625 ]




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A Classic Optimisation Problem Predicting Crystal Structures

A Final Optimisation Phase, Known as the Safety Period

A Safety Optimisation Framework Using Taguchi Concepts

ACCORDION optimisation

Acid optimisation technolog

Additive Analysis Method Development and Optimisation

An Optimisation Procedure

Approach for Discovery and Optimisation of New Catalysts

Batch processes optimisation

Benefits of Closed-Loop Real-Time Optimisation

Black Box Discovery and Optimisation of New Catalysts

Black Box Discovery and Optimisation of New Catalysts Using an Evolutionary Strategy

Burner optimisation

Burr size optimisation

Campaign Operation Optimisation - Industrial Case Study

Carrier flow optimisation

Cellulose optimisation

Chemometric optimisation

Choice of drug salt to optimise solubility

Chromatography optimisation

Column Optimisation

Compound optimisation

Compression moulding optimisation

Compression resin transfer moulding optimisation

Computer-Aided Optimisation

Control and Optimisation

Cost Assessment of Optimised Schemes

Cost optimisation

Culture optimising

Design Optimisation of Fixed Bed Processes

Design optimisation

Drug development process lead optimisation

Energy-corridor optimisation for a European market of hydrogen

Energy/yield optimisation

Essential Features of Optimisation Problems

Evolution strategy optimisation

Evolutionary optimisation technique

Evolutionary optimisation technique genetic algorithm

Example Dynamic Optimisation

Experimental design simplex optimisation

Experimental optimisation

Fermentation optimisation

Flow injection hydride simplex optimisation

Flowsheeting optimisation

Fuel optimisation

General Optimisation

Geometry optimisation

Geometry optimisation derivatives

Geometry optimisations in the protein

Global optimisation

Heat optimisation

High performance liquid chromatography optimisation

Hybrid Modelling and Optimisation in CBD

Institutions optimisation

Instrument optimisation

Instrument optimisation performance testing

Integer optimisation

Kinetic modeling optimisation

LC-NMR optimisation

Lead optimisation

Lead optimisation example

Libraries optimisation

Ligands ligand optimisation

Loop Optimisation Problems

Magnetic field optimising

Material optimisation

Matlab optimisation toolbox

Method development and optimisation

Microprocessor Optimised Vehicle

Microprocessor Optimised Vehicle Actuation

Mobile phase optimisation

Mode Operation Optimisation

Modified simplex method optimisation

Multi-parametric optimisation

Multidimensional optimisation

Multifunctional Optimisation

Multiperiod Operation optimisation

Multiperiod Optimisation

NLP Optimisation Problem

NN Based Modelling and Optimisation in MVC

NN Based Optimisation Algorithm

Non-linear least-squares optimisation

Nutrient optimisation

One Level Optimisation Problem Formulation for Binary Mixtures

Operation Optimisation by Bonny et al

Operation Optimisation for Single Separation Duty by Repetitive Simulation

Optimisation

Optimisation

Optimisation (Optimal Control) of Batch Distillation

Optimisation Approaches

Optimisation Dynamic

Optimisation Framework Using First Principle Model

Optimisation Framework Using Hybrid Model

Optimisation Optimise

Optimisation Optimise

Optimisation Potential

Optimisation Problem Definition

Optimisation Problem Formulation

Optimisation Problem Formulation and Solution

Optimisation Results

Optimisation Strategies in Polyhydroxyalkanoate Fermentation

Optimisation algorithm

Optimisation analytical methods

Optimisation and the Concept of Value

Optimisation chemometrics used

Optimisation criteria

Optimisation diversity

Optimisation dynamic programming

Optimisation evolutionary operations

Optimisation experimental results

Optimisation general procedure

Optimisation gradient method

Optimisation in Excel, the Solver

Optimisation linear programming

Optimisation method

Optimisation model

Optimisation natural orbitals

Optimisation of CRTM

Optimisation of Column Pressure

Optimisation of Decision Making

Optimisation of U back-extraction

Optimisation of batch and semicontinuous processes

Optimisation of filtration time for batch filters

Optimisation of furnace operation

Optimisation of photoelectrochemical storage

Optimisation of photoinduced electron transfer in photoconversion

Optimisation of the CASSCF Wavefunction

Optimisation of the Reaction Conditions

Optimisation of time

Optimisation on crystals

Optimisation orbitals

Optimisation practical

Optimisation search methods

Optimisation simple models

Optimisation simplex

Optimisation simplex method

Optimisation software

Optimisation solver

Optimisation systems

Optimisation: problem

Optimisation: problem objective function

Optimisations in multidimension

Optimise carrier material

Optimised Cure Rate Law

Optimised Neighbourhood Methods

Optimised Sub-micron OFETs

Optimised materials

Optimised potential energy functions

Optimised-Potential Method

Optimising Joints to Minimise Stress

Optimising Molecular Two-photon Cross Section the Brightness Trade-off

Optimising Pesticide Use Edited by M. Wilson

Optimising Pesticide Use Edited by M. Wilson 2003 John Wiley Sons, Ltd ISBN

Optimising difference experiments

Optimising diffusion parameters

Optimising physical properties and phase behaviour

Optimising sensitivity

Optimising the experimental parameters

Optimising the field homogeneity shimming

Optimising the use of phenolic compounds in foods

Orbital optimisation

Organisation of the optimisation

Ortho-phosphate dose optimisation

Outer Loop Optimisation Problem

Particle swarm optimisation

Performance optimisation

Performance optimisation illustration

Phase optimisation

Planning and Optimisation

Polynomial Based Optimisation

Polynomial Based Optimisation Framework - A New Approach

Potential energy functions Optimisations

Preparative optimisation

Pressure optimisation

Process Cycle Optimisation

Process Optimisation Protocol

Process Optimisation Report

Process optimisation

Processes optimising

Product Optimisation Report

Product optimisation

Product optimisation excipient selection

Product optimisation experimental design

Product optimisation information sources

Product optimisation packaging

Product optimisation specifications development

Product optimisation stages

Product optimisation studies

Production Rate Optimisation

Production optimisation

Profit Maximisation via Maximum Conversion Optimisation

Quality of control and optimisation

RESOURCE OPTIMISATION

Reaction optimisation methods

Results of the Optimisation Process

Rigorous simulation optimisation

Robust Methodology Experimental Designs and Optimisation

Sample preparation, general optimisation

Selection and optimisation of furnace operating conditions

Separation optimisation

Separation optimisation programmes

Shape selection to optimise stiffness

Simplex optimisation limitations

Simplex optimisation problem

Simulated annealing optimisation

Simulation based optimisation

Solubility optimisation

Solution of the Optimisation Problem

Solvent optimisation

Solvent optimisation gradient elution

Solvent optimisation techniques

Stability studies product optimisation

Structure Optimisation

Structure of the Optimisation Algorithm

Summary of the Past Work on Dynamic Optimisation

Synthesis design lead optimisation

System optimising

The optimisation algorithm

Thermodynamic optimisation

Transverse-relaxation-optimised spectroscopy

Transverse-relaxation-optimised spectroscopy TROSY)

Value and Optimisation

Wavefunction Optimisation

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