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Contours

Structural maps display the top (and sometimes the base) of the reservoir surface below the datum level. The depth values are always true vertical sub sea. One could say that the contours of structure maps provide a picture of the subsurface topography. They display the shape and extent of a hydrocarbon accumulation and indicate the dip and strike of the structure. The dip is defined as the angle of a plane with the horizontal, and Is perpendicular to the strike, which runs along the plane. [Pg.140]

Reservoir quality maps are used to illustrate the lateral distribution of reservoir parameters such as net sand, porosity or reservoir thickness. It is important to know whether thickness values are isochore or isopach (see Figure 5.46). Isochore maps are useful if properties related to a fluid column are contoured, e.g. net oil sand. Isopach maps are used for sedimentological studies, e.g. to show the lateral thinning out of a sand body. In cases of low structural dip (<12°) isochore and isopach thickness are virtually the same. [Pg.142]

The stylus of the planimeter is guided around the depth to be measured and the respective area contained within this contour can then be read off. The area is now plotted for each depth as shown in Figure 6.2 and entered onto the area - depth graph. Since the structure is basically cut into slices of increasing depth the area measured for each depth will also increase. [Pg.156]

We can now planimeter the thickness of the different NOS contours, plot thickness versus area and then integrate both with the planimeter. The resulting value is the volume of net oil sand (4) and not the GRV ... [Pg.157]

The extraction of characteristics contains the determination of properties and characteristics which describe the casting defect. Within this investigations three different groups of characteristics were determined which include information about the geometry, the distribution of gray values, and the contour of the defects (fig. 9). [Pg.14]

Secondly, the linearized inverse problem is, as well as known, ill-posed because it involves the solution of a Fredholm integral equation of the first kind. The solution must be regularized to yield a stable and physically plausible solution. In this apphcation, the classical smoothness constraint on the solution [8], does not allow to recover the discontinuities of the original object function. In our case, we have considered notches at the smface of the half-space conductive media. So, notche shapes involve abrupt contours. This strong local correlation between pixels in each layer of the half conductive media suggests to represent the contrast function (the object function) by a piecewise continuous function. According to previous works that we have aheady presented [14], we 2584... [Pg.326]

With 3D-CTVicwer the export of slice-contours from parts inside the data volume is possible via the DXF-format. From these contours a two-dimensional comparison to the CAD geometry is possible if the coordinate system and the absolute scaling between both methods are well known. [Pg.495]

The aim of this work which enter in a research project on NDT, is to conceive a system of aid for interpretation and taking decisions, on imperfections in metallic fusion welds, we have studied and tested several segmentation techniques based on the two approaches ( contour and regions ). A quantitative analysis will be applied to extract some relatives geometricals parameters. To the sight of these characteristics, a first classification will be possible. [Pg.524]

Good detection The operator has to give a response to the vicinity of a contour ... [Pg.526]

Unique response A contour has to provoke an unique response of the operator. [Pg.526]

The basic idea is to extract firstly "sure" contours contour segment extremities are identified by studying the local neighbourhood of each pixel. The aim of closing contours algorithm is to find the best path between two points that are extremities of the gap to fulfil. [Pg.528]

We have implemented all segmentation techniques described above, in an interactive software. The operator can chose and adapt the appropriate segmentation technique with the desired parameters. Some geometrical features can be extracted using a contour following such as length, width, surface, form, median axes of the selected defect. The selection is easy and can be done interactively using the mouse. [Pg.529]

The squares visible in figure 5 represent the position of hard particles at the moment of recording. Therefore the time distance between two video records is about 1,3 ms at a record rate of 750 Hz. With these data it is possible to calculate particle velocity. Figure 8 shows the particle movement in the molten bath caused by flow processes. The particles are captured at the contour of the molten bath and transported into the liquid phase. [Pg.548]

Depth measurement possibility on complex-contour parts (in the corners, grooves etc.) by training the device in the dialog mode on control items with certain depth cracks... [Pg.652]

The image without treatment (Fig lb) should be compared with the deconvolved image of the rod (Fig. 2b). The dimension of the rod is well restored and the contour is reinforced by the signal processing. [Pg.749]

For this purpose a special probe was designed whose contour fits exactly to the actual turbine blade - it has to be positioned on the foot platform and around the comer of the blade, see figure 2. [Pg.760]

The advantage of this dedicated form is that the operator must not optimize the position of the probe. As the probe fits exactly to the blade contour, the positioning can be performed very quickly. [Pg.760]

In both cases special probes were designed and manufactured For the first ease a special probe which fits geometrically exactly to the contour of the turbine blade and in the other case a combined transducer system was developed which enables a continuous measurement of... [Pg.764]

A two-dimensional slice may be taken either parallel to one of the principal co-ordinate planes (X-Y, X-Z and Y-Z) selected from a menu, or in any arbitrary orientation defined on screen by the user. Once a slice through the data has been taken, and displayed on the screen, a number of tools are available to assist the operator with making measurements of indications. These tools allow measurement of distance between two points, calculation of 6dB or maximum amplitude length of a flaw, plotting of a 6dB contour, and textual aimotation of the view. Figure 11 shows 6dB sizing and annotation applied to a lack of fusion example. [Pg.772]

Interesting pattern formations also occur in surfactants spreading on water due to a hydrodynamic instability [52]. The spreading velocity from a crystal may vary with direction, depending on the contour and crystal facet. There may be sufficient imbalance to cause the solid particle to move around rapidly, as does camphor when placed on a clean water surface. The many such effects have been reviewed by Stemling and Scriven [53]. [Pg.112]

Rowell and co-workers [62-64] have developed an electrophoretic fingerprint to uniquely characterize the properties of charged colloidal particles. They present contour diagrams of the electrophoretic mobility as a function of the suspension pH and specific conductance, pX. These fingerprints illustrate anomalies and specific characteristics of the charged colloidal surface. A more sophisticated electroacoustic measurement provides the particle size distribution and potential in a polydisperse suspension. Not limited to dilute suspensions, in this experiment, one characterizes the sonic waves generated by the motion of particles in an alternating electric field. O Brien and co-workers have an excellent review of this technique [65]. [Pg.185]

The microscopic contour of a meniscus or a drop is a matter that presents some mathematical problems even with the simplifying assumption of a uniform, rigid solid. Since bulk liquid is present, the system must be in equilibrium with the local vapor pressure so that an equilibrium adsorbed film must also be present. The likely picture for the case of a nonwetting drop on a flat surface is... [Pg.378]

Fig. XVII-18. Contours of constant adsorption energy for a krypton atom over the basal plane of graphite. The carbon atoms are at the centers of the dotted triangular regions. The rhombuses show the unit cells for the graphite lattice and for the commensurate adatom lattice. (From Ref. 8. Reprinted with permission from American Chemical Society, copyright 1993.)... Fig. XVII-18. Contours of constant adsorption energy for a krypton atom over the basal plane of graphite. The carbon atoms are at the centers of the dotted triangular regions. The rhombuses show the unit cells for the graphite lattice and for the commensurate adatom lattice. (From Ref. 8. Reprinted with permission from American Chemical Society, copyright 1993.)...
We confine ourselves here to scanning probe microscopies (see Section VIII-2B) scanning tunneling microscopy (STM) and atomic force microscopy (AFM), in which successive profiles of a surface (see Fig. VIII-1) are combined to provide a contour map of a surface. It is conventional to display a map in terms of dark to light areas, in order of increasing height above the surface ordinary contour maps would be confusing to the eye. [Pg.688]

Figure Al.6.27. Equipotential contour plots of (a) the excited- and (b), (c) ground-state potential energy surfaces. (Here a hamionic excited state is used because that is the way the first calculations were perfomied.) (a) The classical trajectory that originates from rest on the ground-state surface makes a vertical transition to the excited state, and subsequently undergoes Lissajous motion, which is shown superimposed, (b) Assuming a vertical transition down at time (position and momentum conserved) the trajectory continues to evolve on the ground-state surface and exits from chaimel 1. (c) If the transition down is at time 2 the classical trajectory exits from chaimel 2 (reprinted from [52]). Figure Al.6.27. Equipotential contour plots of (a) the excited- and (b), (c) ground-state potential energy surfaces. (Here a hamionic excited state is used because that is the way the first calculations were perfomied.) (a) The classical trajectory that originates from rest on the ground-state surface makes a vertical transition to the excited state, and subsequently undergoes Lissajous motion, which is shown superimposed, (b) Assuming a vertical transition down at time (position and momentum conserved) the trajectory continues to evolve on the ground-state surface and exits from chaimel 1. (c) If the transition down is at time 2 the classical trajectory exits from chaimel 2 (reprinted from [52]).
Figure A3.7.1. Two-dimensional contour plot for direct collinear reaction A + BC —> AB + C. Transition state is indicated by J. Figure A3.7.1. Two-dimensional contour plot for direct collinear reaction A + BC —> AB + C. Transition state is indicated by J.

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2D contour plot

3D Contour map

A — Contour Length Fluctuations of the Primitive Chain

Absorption contour

Amplification contour

An Application Involving Mathematica to Display Orbital Contours

Angle, velocity, contour diagram

Application to the Electronic Maps of Contour

Atomic orbitals contours maps

Average contour length

B Appendix The quantitative representation of flux contour maps

Bader electron density contour

Band Contours for Linear Molecules

Band contours

Band contours in gases

Bend contours

Bending contours

Blast Contours

Blast-Contour Diagram of a Wave Emerging from TNT

CONTOUR (Comet

CONTOUR-ELEMENT

Cartesian contour maps

Chain contour

Chain contour length between

Chain contour length between density

Chain contour length between entanglements

Charge density contour map

Chemical contour

CoMFA coefficient contour maps

CoMFA contour maps

CoMFA difference contour maps

Collision contour maps

Combined contour plot

Concentration contours

Conformational energy contour maps

Constant response, contours

Contour Length Fluctuations of the Primitive Chain

Contour Mining

Contour Visualization

Contour charged densities

Contour check

Contour currents

Contour data

Contour deformation

Contour diagram

Contour diagrams, difference density

Contour difference maps

Contour drawings

Contour elongation

Contour energy values, GRID

Contour extraction algorithms

Contour feathers

Contour graph

Contour integral

Contour integration

Contour intervals, water

Contour isocontour

Contour length

Contour length critical

Contour length fluctuation

Contour length fluctuations dynamics

Contour length of chain

Contour length of polymer

Contour length relaxation

Contour levels

Contour levels setting

Contour line diagram

Contour lines

Contour map

Contour maps plots

Contour maps, wavefunction

Contour of integration

Contour plate

Contour plot and

Contour plot granulation milling study

Contour plot of the electron density

Contour plots

Contour plots correlation spectrum

Contour plots ethylene

Contour plots hydrogen atom

Contour plots hydrogen molecule

Contour plots, superimposed

Contour plotting

Contour plotting identification

Contour potential-energy

Contour profiles

Contour projection length

Contour representations

Contour set

Contour spectra

Contour steel

Contour surface plot

Contour surfaces

Contour tangent

Contour threshold

Contour tracing

Contour weaving technology

Contour, of constant energy

Contour-Depending Temperature Control

Contour-adapted cooling

Contour-clamped homogeneous electric field

Contour-clamped homogenous field

Contour-dependent temperature control

Contoured

Contoured electrodes

Contoured orifice

Contoured scatterplot

Contoured surface

Contouring

Contouring electron density maps

Contours Construction

Contours Modification

Contours of Marginal PDFs for Gaussian Random Variables

Contours of constant

Contours of constant response

Contours response

Contours uncertainty

Contours, definition

Coulson contour

Critical contour criterion

Data analysis contour plots

Decision contour

Density difference contour maps

Determination of Local Strain from the Contour Line

Doppler contour

Dual-index holographic contouring

Dynamics of the contour length fluctuation

Effect of the contour length fluctuation on reptation

Electrochemical contour machining

Electron contours

Electron density contour

Electron density contour diagrams

Electron density contour map

Electron density contour surfaces

Electrostatic contour maps

Energy contour map

Energy contours

Enhance distance active contour

Equal-probability contour, orbitals

Excitation contour

Excitation contour exciting beam

Excited state surface equipotential contours

Fields contour maps, CoMFA

Fitted contour plots

Fluorescence contour diagram

Fluorescence surface contour plot

Form features Contour based

Formation of Closed Contour for Unpaired Electron Delocalization

Free contour plot

Freely jointed chain contour length

Fundamental frequency contour models

GRID contour lines

GRID contour plot

Gaussian chain contour length

Generation contour

Gray-scale contour plots

Groundwater contour map

Height contour

Hexagonal contours

Hydration contour line

Hydrogen bond contour line

Hydrogen-bond angle contour

Impellers energy contours

Intensity contour diagrams

Intensity contour map

Intensity contour plots

Interpenetration contour length

Inversion of Laplace Transforms by Contour Integration

Iso-risk contour

Isodensity contour surface

Isodensity contours

Isodensity contours fragments

Isodensity contours molecular, bodies

Isoenergy contour maps

Isoenergy contours

Isopotential contours

Isoresponse contour plots

Isoresponse contours

Keldysh contour

Line integral contour

MATLAB command contour

MEPCO contours

Mean micelle contour length

Models of FO contours

Molecular Contour Surfaces

Molecular beam contour diagrams

Molecular contour length

Molecular electron density contours

Molecular electrostatic potential contours

Molecular hydrogen contour plots

Molecular isodensity contour concept

Molecular isodensity contour surface

Molecular isodensity contour surface concept

Molecular isodensity contours

Molecular isodensity contours (MIDCO

Molecular orbital contours, point

Molecular plane, contour plot

Myoglobin-ligand interaction, contour map

Neutral contour

Nuclear potential contours (NUPCO

Number of contours

Nyquist contour

Objective function contours

Optimization contour diagram

Optimum contour diagram

Orbital contour

Packaging contour

Parallel contour maps

Pitch contour

Pitch contour analysis

Pitch contour shape [

Polymer full-contour length

Polymers contour length

Potential contour map

Potential energy contour diagram

Potential energy contour map

Potential energy surfaces contour plot

Potential-energy contours for

Potentiometric contours showing

Primitive chain contour length

Primitive chain contour length fluctuation

Primitive chain with fluctuating contour

Probability contour

Quantum mechanics probability contour

Reactivity contour plots

Reactor temperature contours

Relationship between full width at half maximum (FWHM) of individual lines and band contours

Resolution contour plots

Resonance contour

Resonance contour shape

Response contour lines

Response contours, advantages

Response elliptical contours

Response surface models contour plot

Rice contour integral

Risk contour

Rotational contour

Sampling for Contour Maps

Segmentation Active contours

Single decision contours

Static contour

Statistical distribution of the contour length

Steric contour maps

Strain contour mapping

Stress contours

Thickness contours

Three-dimensional orbital contours

Time-contour variables

Topography and Electronic Contours

Transformation of the contour by strong collisions

Transformation of the contour by weak collisions

Trigonal contours

Two-dimensional NMR stacked and contour plots

Two-dimensional contour

Velocity-flux contour maps

Water Contour Characterists

Water table contour map

Wave function contour maps

Wave functions contour plots

Wave functions illustrated contour plots

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