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Field recovery defined

The recovery of molecular structure in terms of the topology of the same physical field that defines the quantum boundary condition of the atom reinforces this identification of the chemical atom with a proper open system of quantum mechanics and reinforces the obvious, that the unquestioned success of the molecular structure hypothesis demands that it be firmly rooted in physics. [Pg.86]

Having defined some of the statistical rules, we can refer back to our example of estimating ultimate recovery (UR) for an oil field development. Recall that... [Pg.169]

Recall that the recovery factor (RF) defines the relationship between the hydrocarbons initially in place (HCIIP) and the ultimate recovery for the field. [Pg.206]

The type of development, type and number of development wells, recovery factor and production profile are all inter-linked. Their dependency may be estimated using the above approach, but lends itself to the techniques of reservoir simulation introduced in Section 8.4. There is never an obvious single development plan for a field, and the optimum plan also involves the cost of the surface facilities required. The decision as to which development plan is the best is usually based on the economic criterion of profitability. Figure 9.1 represents a series of calculations, aimed at determining the optimum development plan (the one with the highest net present value, as defined in Section 13). [Pg.214]

Therefore, a demulsifier with poorer performance but a wider range of effective concentrations is usually better in the plant or the field. Product quality is only one factor in defining demulsifier performance, overtreatment, which can lead to rag layer formation, also needs to be avoided. Figure 7.9 shows two separator oil recovery curves showing different oil losses to rag layer formation. [Pg.218]

Wettability of a solid surface definition and assessment The concept of wettability of a solid by a liquid is directly related to the wetting processes. This concept is specially useful in the fields of detergency, lubrication or enhanced oil recovery. In the context of the oil industry, proposals were made by Briant and Cuiec (1972) for the experimental assessment of wettability, which was defined in terms of the thermodynamic affinity of a solid surface for a liquid. [Pg.126]

Foam exhibits higher apparent viscosity and lower mobility within permeable media than do its separate constituents.(1-3) This lower mobility can be attained by the presence of less than 0.1% surfactant in the aqueous fluid being injected.(4) The foaming properties of surfactants and other properties relevant to surfactant performance in enhanced oil recovery (EOR) processes are dependent upon surfactant chemical structure. Alcohol ethoxylates and alcohol ethoxylate derivatives were chosen to study techniques of relating surfactant performance parameters to chemical structure. These classes of surfactants have been evaluated as mobility control agents in laboratory studies (see references 5 and 6 and references therein). One member of this class of surfactants has been used in three field trials.(7-9) These particular surfactants have well defined structures and chemical structure variables can be assigned numerical values. Commercial products can be manufactured in relatively high purity. [Pg.181]

A flow injection of appropriate cell number sometimes requires adapting the injection volume. In terms of elution, it is essential to observe or follow the safety Hyperlayer requirements that have been already defined. In this order, with the help of the granulometric detector, it is possible to determine the average sizes of cells eluting in the front and the tail of the fractogram, and to calculate, by means of the (5) position, their average position in the channel thickness by experience, a useful recovery is found if the elution conditions (field and flow) drive to an average position in the channel thickness (i) at, at least, 0.75 times the diameter. [Pg.328]

In general terms, the interest in metal nanoparticles as catalysts is increasing dramatically, as reflected by the large number of publications in the last five years. This field, defined as semi-heterogeneous catalysis , is recording a substantial progress in terms of efficiency and selectivity of reactions on one hand, and recovery and recyclability of the catalytic materials, on the other. As far as nanoparticles in catalysis are concerned, the reader is directed to the excellent review article by Astruc et al. [Pg.62]

It may also be important to decide whether the model output will be used to identify exposure conditions that are protective (e.g., if the model output gives a result less than X, there are unlikely to be impacts on field populations at exposures equal to or less than the one modeled) or whether the results are intended to be used in a more predictive manner (e.g., the model might be used to predict the time necessary for full population recovery following a defined pesticide application scenario). Whether the model result should be predictive, or merely protective, is likely to place different constraints on the model s complexity. Regardless of what types of models are to be used, careful attention has to be paid to adequately testing, verifying, and validating them (see Chapter 9). [Pg.122]

Strain was reached, the load was reduced to zero, and the critical current was measured at the recovery strain value. The data obtained for samples A-8 and A-16 are shown in Figs. 5 and 6. The critical current, /c, is defined at a resistivity of O.lpfl m based on the total area, excluding copper, and with the magnetic field oriented parallel to the wide face. [Pg.322]


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Field recovery

Recovery defined

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