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Expectancy

To illustrate, predictions were first made for a ternary system of type II, using binary data only. Figure 14 compares calculated and experimental phase behavior for the system 2,2,4-trimethylpentane-furfural-cyclohexane. UNIQUAC parameters are given in Table 4. As expected for a type II system, agreement is good. [Pg.64]

If there is sufficient flexibility in the choice of model and if the number of parameters is large, it is possible to fit data to within the experimental uncertainties of the measurements. If such a fit is not obtained, there is either a shortcoming of the model, greater random measurement errors than expected, or some systematic error in the measurements. [Pg.106]

An additional advantage derived from plotting the residuals is that it can aid in detecting a bad data point. If one of the points noticeably deviates from the trend line, it is probably due to a mistake in sampling, analysis, or reporting. The best action would be to repeat the measurement. However, this is often impractical. The alternative is to reject the datum if its occurrence is so improbable that it would not reasonably be expected to occur in the given set of experiments. [Pg.107]

Examples of main programs calling subroutines FLASH and ELIPS for vapor-liquid and liquid-liquid separation calculations, respectively, are described in this Appendix. These are intended only to illustrate the use of the subroutines and to provide a means of quickly evaluating their performance on systems of interest. It is expected that most users will write their own main prograns utilizing FLASH and ELIPS, and the other subroutines presented in this monograph,to suit the requirements of their separation calculations. [Pg.347]

For multiple reactions in which the byproduct is formed in series, the selectivity decreases as conversion increases. In this case, lower conversion than that for single reactions is expected to be appropriate. Again, the best guess at this stage is to set the conversion to 50 percent for irreversible reactions or to 50 percent of the equilibrium conversion for reversible reactions. [Pg.64]

Also, although there are no selectivity data for the reaction, the selectivity losses would be expected to increase with increasing conversion. Complete conversion would tend to produce unacceptable selectivity losses. Finally, the reactor volume required to give a complete conversion would be extremely large. [Pg.104]

In Fig. 8.3, the only cost forcing the optimal conversion hack from high values is that of the reactor. Hence, for such simple reaction systems, a high optimal conversion would he expected. This was the reason in Chap. 2 that an initial value of reactor conversion of 0.95 was chosen for simple reaction systems. [Pg.243]

It should be emphasized that capital cost estimates using installation factors are at best crude and at worst highly misleading. When preparing such an estimate, the designer spends most of the time on the equipment costs, which represent typically 20 to 40 percent of the total installed cost. The bulk costs (civil engineering, labor, etc.) are factored costs which lack definition. At best, this type of estimate can be expected to be accurate to 30 percent. [Pg.417]

Table 10.2 shows expected trends in specifications for some major products. [Pg.366]

Development planning and production are usually based on the expected production profile which depends strongly on the mechanism providing the driving force in the reservoir. The production profile will determine the facilities required and the number and phasing of wells to be drilled. The production profile shown in Figure 1.1 is characterised by three phases ... [Pg.6]

In some cases, where production is subject to high taxation, tax concessions may be negotiated, but generally host governments will expect all other means to have been investigated first ... [Pg.7]

It is expected that seismic iwill become even more important in determining field development strategies throughout the total field life. Indeed, many mature fields have several vintages of seismic, both 2D and 3D. [Pg.18]

D is basically a succession of 2D or 3D surveys repeated at intervals of time during which it is expected that some production effect has occurred, of sufficient magnitude to effect the acoustic impedance contrast seen by the propagating waves. For example, this oould be changes in the water or gas saturation, or changes in pressure. [Pg.20]

In the future, it is expected to be possible to make more routine use of additional wave types, specifically shear or S waves (polarised to horizontal and vertical components) which have a transverse mode of propagation, and are sensitive to a different set of rock properties than P waves. The potential then exists for increasing the number of independent attributes measured in reflection surveys and increasing the resolution of the subsurface image. [Pg.23]

Originally, mud was made from clay mixed with water, a simple system. Today the preparation and treatment of drilling fluid has reached a sophistication which requires specialist knowledge. The reason for this becomes clear if we consider the properties expected. [Pg.39]

Casing joints are available in different grades, depending on the expected loads to which the string will be exposed during running, and the lifetime of the well. The main criteria for casing selection are ... [Pg.53]

If compaction occurs as a result of production careful monitoring is required. The Ekofisk Field in the Norwegian North Sea made headlines when, as a result of hydrocarbon production, the pores of the fine-grained carbonate reservoir collapsed and the platforms on the seabed started to sink. The situation was later remedied by inserting steel sections into the platform legs. Compaction effects are also an issue in the Groningen gas field in Holland where subsidence in the order of one meter is expected at the surface. [Pg.86]

Keywords deterministic methods, STOllP, GllP, reserves, ultimate recovery, net oil sands, area-depth and area-thickness methods, gross rock volume, expectation curves, probability of excedence curves, uncertainty, probability of success, annual reporting requirements, Monte-Carlo simulation, parametric method... [Pg.153]

It is common practice within oil companies to use expectation curves to express ranges of uncertainty. The relationship between probability density functions and expectation curves is a simple one. [Pg.159]

Figure 6.6 The probability density function and the expectation curve... Figure 6.6 The probability density function and the expectation curve...
For oilfield use, the x-axis on expectation curves is typically the STOIIP, GIIP, UR, or Reserves of a field. [Pg.161]

Expectation curves are alternatively known as probability curves . This text will use the term expectation curve for conciseness. [Pg.161]

The slope of the expectation curve indicates the range of uncertainty In the parameter presented a broad expectation curve represents a large range of uncertainty, and a steep expectation curve represents a field with little uncertainty (typical of fields which have much appraisal data, or production history). [Pg.161]


See other pages where Expectancy is mentioned: [Pg.34]    [Pg.75]    [Pg.102]    [Pg.106]    [Pg.112]    [Pg.31]    [Pg.64]    [Pg.87]    [Pg.181]    [Pg.395]    [Pg.288]    [Pg.321]    [Pg.264]    [Pg.411]    [Pg.30]    [Pg.32]    [Pg.50]    [Pg.58]    [Pg.62]    [Pg.79]    [Pg.126]    [Pg.153]    [Pg.159]    [Pg.159]    [Pg.160]    [Pg.162]    [Pg.162]   
See also in sourсe #XX -- [ Pg.7 , Pg.27 ]




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Absence of an Expected Component

Advantages Expected from a-Si H as Photoreceptor of Electrophotography

Adverse events expected profile

Alternating conditional expectations

Approach 2 Expectation Model I and II

Assessing life expectancy

Atomic Expectation Value of a General Operator

Atoms expectation values

Attention mechanisms expectancy

Auditing expected/actual results

Auditors Expectations

Audits management expectations

Average life expectancies

Bearings life expectancy

Building the Model of Fuzzy Random Expected Value

CROSS expected benefits

Calculation of Expectation Values

Capital markets expectations

Chemical reactions expectations

Chemical reactions realistic expectations

Classical quantum mechanics expectation values

Coherent states expectation values

Color expectation

Comments and Future Expectations

Communicating Realistic Socialization and Training Outcome Expectations

Complications and Life Expectancy

Conditional Expectation and Variance

Construction of the Expected Value Model

Consumer expectations, European

Consumers, biotechnology expectations

Contract research organizations expectations

Corporate value expected

Cost expectations

Currents lower than expected

Customer Outcome Expectations (Technique

Customer expectations - determination

Customer expectations management

Customer expectations, types

Customers expectations

Data Analysis and Expected Results

Defects maximum expected

Defined expectations

Determination of expectation

Diagonal matrices, expectation values

Diamagnetic expectation value

Diatomic molecules expectation values

Differentiability expectation value

Dipole expectation value

Dispersion Life expectation

Downside expected profit

Dynamic expectation value

Dynamical quantities expectation values

EMPLOYERS EXPECTATIONS OF SAFETY SKILLS FOR NEW CHEMISTS

Economic evaluation life expectancy

Effluent Expected

Elderly people life expectancies

Electron spin expectation value

Electronic states expectation values

Employers, expectations

Energy expectation value

Energy unrealistic expectations

Equation of motion expectation value EOMXCCSD method

Equity expected return

Estimated Annual Costs and Expected Coverage of a Proposed Safety Net Reform Package, Pakistan

Exceptions to expected

Exercise life expectancy

Expect the Unexpected with Ordnance

Expectance

Expectancies assessing

Expectancies client, challenges

Expectancies unrealistic

Expectancy Challenges

Expectancy Theory 120, Chapter

Expectancy theory

Expectancy versus Maximum Life Span

Expectant casualty

Expectation Values and Ensemble Averaging

Expectation Values in the Hydrogen Atom

Expectation Values of One-Index Transformed Hamiltonians

Expectation and moments

Expectation conditional

Expectation effect

Expectation effect components

Expectation error

Expectation functions

Expectation management

Expectation maximisation

Expectation maximization algorithm

Expectation model

Expectation of a random variable

Expectation operator

Expectation probability curve

Expectation radial density

Expectation total

Expectation unconditional

Expectation value

Expectation value , significance

Expectation value Fock operator

Expectation value coupled cluster

Expectation value coupled cluster method

Expectation value definition

Expectation value density matrix form

Expectation value field-dependent

Expectation value first-order

Expectation value for

Expectation value gauge invariant

Expectation value of energy

Expectation value of operator

Expectation value of the energy

Expectation value second-order

Expectation value time-dependent

Expectation value time-derivative

Expectation value trace form

Expectation value trace with

Expectation value transition

Expectation value, quantum mechanics

Expectation values 412 Subject

Expectation values Hellmann-Feynman theorem

Expectation values and matrix elements

Expectation values coupled-cluster theory

Expectation values distinguishing

Expectation values for harmonic oscillator

Expectation values for hydrogen-like atom

Expectation values for particle in a box

Expectation values linear response

Expectation values normalization

Expectation values of dynamical quantities

Expectation values of observables

Expectation values of spin

Expectation values orbital normalization

Expectation values position measurements

Expectation values radial distribution function

Expectation values theorem)

Expectation values time dependence

Expectation values, overview

Expectation-maximization

Expectations

Expectations

Expectations adjusting

Expectations and change

Expectations and experience

Expectations expectation assessment

Expectations feedback form

Expectations for Biological Engineers

Expectations for future

Expectations for system

Expectations from commercial additives

Expectations from plasticizers

Expectations hypothesis

Expectations keeping realistic

Expectations risks from

Expectations safety-specific

Expectations theories

Expectations three categories

Expectations two sets

Expectations versus time curves

Expectations violations

Expectations, patient

Expectations, pilot testing

Expectations, realistic

Expectations, setting

Expectations, studying quantum

Expectations, studying quantum mechanics

Expected

Expected

Expected Accuracies

Expected Advantages

Expected Benefits of Pharmacogenomics in Drug

Expected Classification of Existing Wastes

Expected Co-worker Safety Behavior

Expected Co-worker Safety Communication

Expected Co-workers Reactions to New Employees

Expected Cost Model

Expected Downtime Model

Expected Energy and Angular Resolution

Expected Familiarization by Co-workers

Expected Frequencies of Occurrence, Release Processes and Relevant Accident Consequences

Expected Future Situation with Fuel Cells

Expected Loss

Expected Management Safety Behavior

Expected Overstock from an Order

Expected Performance Evaluator An LP

Expected Performances

Expected Profit from an Order

Expected Safety Criticality Model

Expected Solar Neutrino Sources, Energies, and Fluxes

Expected Supervision

Expected Value Model

Expected Value Operator

Expected Value and Variance

Expected and Available Results

Expected average value

Expected bond energy

Expected cash flows

Expected cash flows change

Expected cash flows discounting

Expected contaminant dispersion

Expected deviation

Expected drug reactions

Expected environmental concentration

Expected fine function

Expected frequencies

Expected lifetimes

Expected loss, calculation

Expected main effects of flooding on nuclear power plant sites

Expected maturity

Expected mean squares

Expected mean squares analysis

Expected net present value

Expected number of active effects

Expected objective

Expected orders of magnitudes for partition coefficients

Expected outcomes, defining

Expected performance evaluator

Expected polynomial-time

Expected prediction difference

Expected profile residual

Expected profit

Expected profit functional form

Expected rate of return

Expected result

Expected sales

Expected second-stage costs

Expected shortage per replenishment cycle

Expected trends

Expected utility

Expected utility functional form

Expected utility maximization

Expected utility optimal risk

Expected utility theory

Expected value

Expected value of perfect information

Expected value of perfect information EVPI)

Expected value of profit

Expected value weighted average

Expected values of derivatives

Expected values, use

Expected volatility

Expected volatility measurement

Expected voltage, maximum

Expecting Inclusion

Expecting the Unexpected

Fermi vacuum expectation value

Fillers expectations

Fillers expected variation

Fluorescence spectroscopy expected intensity

Future Expectations

Fuzzy Random Expected Value of Variables

General Expectations

Generating expectation curves

Ground-State Expectation Values

Growth expectations, fine chemical

Growth expectations, fine chemical market

Gumbel Distribution-Maximum Expected Defect

Hamiltonian (Transition) Expectation Values

Hamiltonian expectation value

Hamiltonian vacuum expectation values

Hazard assessment expected exposure concentration

Health expectancy improvement

Health life expectancy

Health-adjusted life expectancy

History and expectation

Hydrogen atom expectation values

Hydrogen-like atom expectation values

Hydrogenic functions expectation value

Hypothesis testing expectation

I Expect You to n Covalent Bonding

I Expect You to tt Covalent Bonding

Implied expectation

Inference on the Expected Response Variables

Inflation expectations

Inflationary expectations

Influence of Surface Roughness on Maximally Expected Strength

Information and Expectation

Internal expected performance

Investor expectations, financial

Lags and Inflation Expectations

Leadership expectations

Life Expectancy and Body Weight of Mammals

Life expectancies

Life expectancy data

Life expectancy environment

Life expectancy index

Life expectancy lifestyle

Life expectancy of chemical signals

Life expectancy reduction

Life expectancy retirement

Life expectancy, at age

Life expectancy, improvements

Life expectancy, increase

Life expectancy, innovation

Life expectation

Lifetime expectancy

Local expectations hypothesis

Loss of life expectancy

Lower symmetry than expected in some phosphines and phosphoranes

Lower-than-expected mortality

Marketing expectations

Mathematical expectation

Maximum expected environmental concentration

Maximum expected operating pressure

Maximum likelihood expectation

Maximum likelihood expectation maximization

Meditation expectations

Molecular system expectation values

Molecular weight expected errors

Momentum density expectation values

Mothers expectant

New Employee Expected Behavior

New employee safety expectation assessment

New employee safety expectations

Normally expected event

Numerical examples, quantum mechanics expectations

Observables, expectation values

Operator exact expectation value

Operators and Expectation Values

Orbital radial expectation values

Ordered subset expectation

Outcome Expectations

Outcome Expectations (Technique

Outcome Expectations and

Outdoor life expectancy

Oxides General Expectations from the Network

Oxygen thermodynamic situation/expected

Paper life expectancy

Perfect information, expected value

Performance and Perception Expectations

Performance and Perception Expectations Technique

Performance expectation

Performance expectations and acceptance criteria

Performance improvement cycle expectations

Photon energy expectation value

Polymerizations expected pressure development

Position expectation values

Postulate 4 and Expectation Values

Private expected returns

Probability density functions and expectation curves

Probability theory conditional expectation

Probability theory expectation

Profit, expected value

Prostate cancer expectant management

Public expectations

Quantifying Future Expectations

Quantum mechanics expectations

Quantum object expectation values

Quantum similarity measures expectation functions

Question 3 Are the Retention Times as Expected and within Established Tolerance Limits

REGULATORY EXPECTATIONS

Radial Density and Expectation Values

Radial expectation value

Radial expectation values for

Raising and Rising Expectations

Random conditional expectation

Random expectation

Rational expectations theory

Real term structure inflation expectations

Reasonable expectation of success

Recombinant microorganisms expectations

Recurrence relation for hydrogen-atom expectation values

Regulatory increased expectations

Reliability expected

Representation of expected

Residual expected

Restriction of Expected Cell Frequency to not less than

Results, expected/actual audit

Reward, expectation

Rising customer expectations

Risks, managing expectation assessment

Safety expectation setting procedures

Safety performance expectations

Salary expectations

Sales expectation

Sales performance expectations

Selectivity expected yield, calculation

Setting Realistic Safety Expectations

Sketches of Expected Theorems and Proofs

Social expectations

Societal expectations

Spin expectation value

Stark effect expectation values

Stochastic Expected Value Programming

Sustainable Solutions for Nutrition A Consumer Expectation

Systems integration program performance, expectations

Term structure hypotheses expectations hypothesis

Testing , method expectations

The Expectations Hypothesis

The Kramers-Kronig in an Expectation Sense

Time dependence of the expectation value

Total Expectation Values

Training outcome expectations

Transitions expectations

Translating Expected Levels of Proficiency into Learning Outcomes

Triage categories expectant

Triatomic molecules expectation values

Types of New Employee Experience and Pre-entry Safety Expectations

Useful information, quantum mechanics expectation

Vacuum expectation value

Vacuum expectation value Higgs field

Vacuum expectation value fields

Wastes Expected to be Classified as Low-Hazard

Wavefunctions and Expectation Values

Ways to Improve Expectation Values

Weak interactions expectation energy

What We Expect to Find

What can I expect to get from this book

What do you Expect to See

What should we expect of a histone code

What to Expect on the GRE Verbal Section

When is metal-centered pseudocontact shift expected

Yield expected, calculation

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