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Rate data

Additional data (rate eonstants taken from Levenspiel [11]) ... [Pg.548]

A problem with the early MWD mud pulse systems was the very slow rate of data transmission. Several minutes were needed to transmit one set of directional data. Anadrill working with a Mobil patent [100] developed in the early 1980s a continuous wave system with a much faster data rate. It became possible to transmit many more drilling data, and also to transmit logging data making LWD possible. Today, as many as 16 parameters can be transmitted in 16 s. The dream of the early pioneers has been more than fulfilled since azimuth, inclination, tool face, downhole weight-on-bit, downhole torque, shocks, caliper, resistivity, gamma ray, neutron, density, Pe, sonic and more can be transmitted in realtime to the rig floor and the main office. [Pg.901]

The steering tools have practically been abandoned and replaced by MWD systems, mostly because of the electric wireline. However, the high data rate of the electric wireline (20-30 kbits/s) compared to the low data rate of the MWD systems (1-10 bits/s) make the wireline tools still useful for scientific work. [Pg.905]

Desbrandes, R., A. T. Bourgoyne andj. A. Carter, MWD transmission data rate can be optimized, Petroleum Engineering International, June 1987. [Pg.1378]

Three types of reference-value comparisons are used to evaluate trend data baseline data, rate of change, and industrial standards. [Pg.729]

In addition, manufacturers boiler operational manuals provide hardcopy data ratings for heat transfer coefficients, local heat flux, fuel utilization, furnace heat release rates, maximum continuous rating... [Pg.12]

It is conceivable to detect amplitude and phase emitted by a celestial object at various observation sites and to correlate the results in order to create a huge interferometer (Fig. 3). Because laser can be very stable, the phase reference between lasers can be extracted at low data rate for example from the correlation of the interference signal of each laser with a high magnitude star. The main difference with communication case above is that the absolute phase of the thermal emission is meaningless only the phase correlation from site to site can be exploited. Emission of thermal source is governed by the Planck law. This law states that the probability of photon population of a mode is ... [Pg.370]

Adiabatic calorimetry. Dewar tests are carried out at atmospheric and elevated pressure. Sealed ampoules, Dewars with mixing, isothermal calorimeters, etc. can be used. Temperature and pressure are measured as a function of time. From these data rates of temperature and pressure rises as well as the adiabatic temperature ri.se may be determined. If the log p versus UT graph is a straight line, this is likely to be the vapour pressure. If the graph is curved, decomposition reactions should be considered. Typical temperature-time curves obtained from Dewar flask experiments are shown in Fig. 5.4-60. The adiabatic induction time can be evaluated as a function of the initial temperature and as a function of the temperature at which the induction time, tmi, exceeds a specified value. [Pg.368]

The reactions and identification of small isomeric species were reviewed by McEwan in 199223 Since that time, additional experimental data have been obtained on more complex systems. In the present review, smaller systems will only be mentioned where there has been an advance since the previous review and emphasis here will be concentrated on the correlation between reactivity, the form of the potential surface, and the isomeric forms. There is also a wealth of kinetic data (rate coefficients and product ion distributions) for ion-molecule reactions in the compilations of Ikezoe et al.24 and Anicich,25,26 some of which refer to isomeric species. Thermochemical data relevant to such systems, and some isomeric information, is contained in the compilations of Rosenstock et al.,27 Lias et al.,28 29 and Hunter and Lias.30... [Pg.87]

Evaluation of kinetic data. Rate constants were determined for 2-H exchange from 3-R-4-methylthiazolium ions, catalyzed by D2O (pseudo first order) and DO- (second order).154 The observed rate constants for the pD-independent exchange reaction were corrected for the solvent isotope effect ( h2o/ d2o = 2.6), and the reverse protonation of the carbene by H30+ was assumed to be diffusion-controlled (k = 2 x 1010 M-1 s-1). A similar analysis was performed for the exchange catalysed by DO-. The results agreed nicely, giving pAfa = 18.9 for 213 and p/sfa = 18.0 for thiamine.154 The thiazolium ion 213 seems to be less acidic in water154 than in DMSO152 (Ap/fa = 2.4). Aside from the... [Pg.42]

Type Wavelength (Bandwidth) Centroid Profile Data Rate (Hz) Cycle Time (sec) Throughput (samples/day)... [Pg.110]

Such columns are excellent filters and require more sample preparation to ensure the removal of all solids. To benefit from the full power of LC optimization, the detectors must be optimized as well. Data rates and duty times must match the narrower peaks in very fast (and well resolving) separations. Careful consideration and optimization of all instrument components and software can produce significant cycle time improvements of fast LC separations and further increase throughput. An important aspect of cycle time improvement is parallelization of components of individual analyses. [Pg.117]

The mechanisms for the NMHCs (except DMS) required to fully characterise OH chemistry were extracted from a recently updated version of the Master Chemical Mechanism (MCM 3.0, available at http //mcm.leeds.ac.uk/MCM/). The MCM treats the degradation of 125 volatile organic compounds (VOCs) and considers oxidation by OH, NO3, and O3, as well as the chemistry of the subsequent oxidation products. These steps continue until CO2 and H2O are formed as final products of the oxidation. The MCM has been constructed using chemical kinetics data (rate coefficients, branching ratios, reaction products, absorption cross sections and quantum yields) taken from several recent evaluations and reviews or estimated according to the MCM protocol (Jenkin et al., 1997, 2003 Saunders et al., 2003). The MCM is an explicit mechanism and, as such, does not suffer from the limitations of a lumped scheme or one containing surrogate species to represent the chemistry of many species. [Pg.4]

It should be noted that this regime allows the possibility that the sensor is spread over several platforms and/or is comprised of several physically different sensors within each platform. It can encompass trajectory control for platforms and even control of data rates in connecting platforms to each other and to a central node. In each case the system can be viewed as consisting of many real or virtual sensors, where a virtual sensor can be a particular mode of a sensor, a position of a platform, a particular bit of a measurement made by a sensor, etc. Thus the sensor management problem may seen in all of these cases as one of choosing to switch between many different sensors, where the choice is made on the basis on knowledge of the environment. This view is schematically represented in Figure 1. [Pg.276]

Table I shows the results of several such studies. The pH s of the specific experimental runs used in Table I were chosen to facilitate comparison with natural (fresh) surface waters. Rates were taken directly from reported results, or were determined from the linear portions of tabulated or graphed data. Rates were normalized using either reported surface areas, or estimates of surface area based on reported particle size data. Results in Table 1 compare favorably with a similar compilation by Lasaga (50). Table I shows that feldspar dissolution rates in slightly acidic solutions vary by less than one order of magnitude, despite different experimental conditions and sample pretreatments. Table I shows the results of several such studies. The pH s of the specific experimental runs used in Table I were chosen to facilitate comparison with natural (fresh) surface waters. Rates were taken directly from reported results, or were determined from the linear portions of tabulated or graphed data. Rates were normalized using either reported surface areas, or estimates of surface area based on reported particle size data. Results in Table 1 compare favorably with a similar compilation by Lasaga (50). Table I shows that feldspar dissolution rates in slightly acidic solutions vary by less than one order of magnitude, despite different experimental conditions and sample pretreatments.
One can set up to do this using the competition between dimerization and halogen atom abstraction from RX to form the rhodium(III) halide complex. As a function of [RX], the product ratio is quite easily evaluated. From that, one can get the rate constant ratio but, knowing independently the rate constant for dimerization, it is possible to extract from those data rate constants for reactions of the rhodium(II) complex with these organic halides. The rate constants obtained are listed in Table I. [Pg.394]

FIGURE I The effects of data bunching on a signal from a chromatogram acquired at a high data rate. [Pg.586]

The absolute rate constants for a variety of cyclizafions have been measured. In particular, the rates of decarbonylafion of a variety of alkoxycarbonyl radicals have been obtained by LFP studies on PTOC oxalates." From these data, rate constants for the reduction of alkoxycarbonyl radicals with BusSnH and their 5-exo cyclizafions were determined. Whereas cyclizations were slightly faster than the analogous alkyl radical 5-exo cyclizations, their reactions with BusSnH were 10 times slower, indicating that cyclization processes should be synthetically useful. The rate constants for the cyclization of a number of variously substituted a-amide radicals have been determined together with their relative reactivities towards reduction using BusSnH (Scheme 16). Cyclizations of secondary-based radicals were found to be similar to the corresponding alkyl-substituted radicals. In addition, the rate constants were subject to minor electronic... [Pg.125]

Due to the small size and applied bias voltage (when used in photoconductive mode) the response time of each diode element in the PDA can be very fast indeed, so total integration times can also be short, hi principle, data rates of 200 spectra per second are achievable, but in reality spectral co-adding is a more sensible objective, to improve overall SNR. [Pg.123]

Data Rate, Time of Largest Molecular-Weight Averages ... [Pg.201]

Thus, data rates of 0.5 seconds/point are required to suppress band-broadening contributions from data acquisition. [Pg.201]


See other pages where Rate data is mentioned: [Pg.2873]    [Pg.290]    [Pg.259]    [Pg.143]    [Pg.143]    [Pg.149]    [Pg.176]    [Pg.223]    [Pg.16]    [Pg.122]    [Pg.123]    [Pg.123]    [Pg.135]    [Pg.392]    [Pg.138]    [Pg.429]    [Pg.45]    [Pg.1169]    [Pg.279]    [Pg.192]    [Pg.231]    [Pg.454]    [Pg.98]    [Pg.107]    [Pg.133]    [Pg.7]    [Pg.586]    [Pg.201]    [Pg.201]    [Pg.201]   
See also in sourсe #XX -- [ Pg.230 ]

See also in sourсe #XX -- [ Pg.260 ]




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Acquisition and Evaluation of Reaction Rate Data

Acrylamide reaction rate data

Acrylic acid reaction rate data

Acrylonitrile reaction rate data

Analysis and correlation of rate data

Analysis of Initial Rate Data

Analysis of Rate Data

Aqueous solution data rate constant with hydroxyl radical

Arrhenius plot rate coefficient data

Benzene reaction rate data

Bromination reactions, some rate data

CCPS Generic Failure Rate Data Base Taxonomy

COLLECTION AND ANALYSIS OF RATE DATA

COMPUTABILITY OF REACTION RATES FROM DATA

Coke combustion rate data

Collection of rate data

Crystal-growth rate coefficient, data

Data Acquisition Rate

Data Sampling Rates

Data acquisition rate estimation

Data acquisition rate, enhanced

Data analysis methods initial rates method

Data analysis, electron transfer rate

Data rate control

Data transfer rates

Data treatment Rate estimation

Deducing a Rate Law from the Experimental Data

Dehydrogenation kinetic rate data

Determination of Rate Equations for Single Reactions from Batch Reactor Data

Determining the Order and Rate Constant from Experimental Data

Differential method, reaction rate data analysis

Diode array detector data acquisition rate

Dissolution rate data

Drying rate data

Earlier reviews of rate data on hydrocarbon combustion

Equipment Failure Rate Data

Evaluation of Kinetic Data (Reaction Orders, Rate Constants)

Example. Fitting a kinetic rate law to time-dependent data

Failure Rate Data Transfer

Failure rate data sources

Failure rate data, risk assessment

Fitting Rate Data and Using Thermodynamics

Fluorescence detectors data acquisition rate

Frequency analysis failure rate data

Getting Failure Rate Data

Graphical analysis of initial rate data

Heterogeneous data analysis rate laws

Hospitalization data rates

INITIAL RATE ENZYME DATA

INITIAL RATE ENZYME DATA REPORTING

Initial rate data

Initial rate data graphical analysis

Initial rate data statistical analysis

Integral method, reaction rate data analysis

Integral reactor, catalytic reaction rate data

Interpretation of Heterogeneous Kinetic Rate Data Via Hougen-Watson Models

Isothermal Analysis of Experimental Rate Data

Langmuir-Hinshelwood kinetics catalytic reaction rate data

Mass analyzers data acquisition rate

Measurable rate constant, data analysis

Mechanism from Rate data

Methyl methacrylate reaction rate data

Model Based on the Rate Equation and Experimental Data

Mole balances rate data analysis

Molecular elementary reaction rate data

Nonisothermal rate data

Obtaining Initial Rate Data

Problem Calculate rates and concentrations of reactants from data sets

RATE LAW DATA

Rate Law from Data—Two Examples

Rate constant measurement, data analysis

Rate constants from batch reactor data

Rate constants from plug-flow reactor data

Rate data analysis

Rate data collection and analysis

Rate data, obtaining

Rate data, relative

Rate from shock tube data

Rate measurements experiments, data processing)

Rate of data acquisition

Rate parameters from batch reactor data

Rate theory validation data

Reaction Rate Data from Differential Reactors

Reaction rate data

Reaction rate data analysis

Reaction rate data for

Reaction rate from laboratory data

Reaction rate from pilot plant data

Reaction rate, SO3 jn strong sulfuric acid industrial data

Representative initial rate data

Representative initial rate data reactants

Reproducibility, rate data

Sampling rates, data handling

Selected Rate Data for Reactions of Heteroatom-Centered Radicals

Simplifications rate data analysis

Skill 9.8 Determining the rate law of a reaction from experimental data

Sources and Types of Failure Rate Data

Styrene reaction rate data

Survival data hazard rate

TESTING THE DATA FOR CONSISTENCY WITH COMPLICATED RATE EXPRESSIONS

Thermal Rate Data

Time data acquisition rates

Titration rate data analysis

Total Pressure Method of Reaction-Rate Data Analysis

Use of the CCPS Generic Failure Rate Data Base

Using Failure Rate Data

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