Fault interpretation

In order to obtain a consistent fault interpretation, human interaction is required. This interaction is provided through a fault analysis tool. The most important role of this tool is to provide the interpreter with functionality to validate the extracted surfaces. Since the fault attributes do not only enhance events due to faulting, surfaces that are not faults will be extracted and have to be deleted. Second, the analysis tool must provide the interpreter with... 

D visualization is imperative to the analysis tool. Figure 5 shows an example of 3D visualization of extracted surfaces from a field offshore mid Norway. The horizontal slice is an enhanced attribute produced by the ant tracking, mapping all extracted surfaces, and a transparent seismic section. More about applying the fault interpretation workflow on this data can be found in [8]. 

The workflow has been applied to two fields offshore mid Norway, where the motivation was to obtain an objective fault interpretation and to enhance small-scale heterogeneities produced by small faults. The two fields are located close to each other and are covered by the same data set (Figure 7). The first field is defined by a horst structure with relatively horizontal layers. The simple geometry makes it easy to verify the automatically extracted internal faults with manual interpretation in the seismic data. The second field, which is the main focus in this work, is defined by a large and strongly rotated fault block. This field is structurally much more complex with locally intensive internal deformation. 

The workflow outlined represents a paradigm shift in seismic fault interpretation. Automatic surface extraction results in a highly detailed mapping of discontinuities. First principles from structural geology and geomechanics state that faults occur in conjugated sets of parallel faults. The workflow enables the interpreter to operate on such fault systems, as well as on individual fault surfaces. The extracted surfaces needs to be edited in order to obtain the final interpretation. The workflow reduces interpretation time and increases the level of detail. 

After often a lengthy period (several months) of acquisition and processing, the data may be loaded onto a seismic workstation for interpretation. These workstations are UNIX based, dual screen systems (sections on one side, maps on the other, typically) where all the trace data is stored on fast access disk, and where the picked horizons and faults can be digitised from the screen Into a database. Of vital Importance is access to all existing well data in the area for establishing the well - seismic tie. 2D data will be interpreted line by intersecting line, and 3D as a volume. 

Combining Tort and Contract Advantages. Two methods were available to allow plaintiffs an easier road to recovery. Courts either stripped the tort action of the necessity for estabUshing fault, or interpreted the UCC in such a way that privity was not necessary and the other Code defenses were not appHcable to cases involving personal injury or property damage. Either way a manufacturer would be open to dkect suit without the... 

J. R. Whiteley andj. F. Davis, "QuaHtative Interpretation of Sensor Patterns using a Similarity-Based Approach," paper presented at the IFAC Symposium on On-Eine Fault Detection and Supervision in the Chemical Process Industries, Newark, Del., Apr. 1992. 

Overview Interpretation is the process for using the raw or adjusted unit measurements to troubleshoot, estimate parameters, detect faults, or develop a plant model. The interpretation of plant performance is defined as a discreet step but is often done simultaneously with the identification of hypotheses and suitable measurements and the treatment of those measurements. It is isolated here as a separate process for convenience of discussion. 

Parameter estimation is a procedure for taking the unit measurements and reducing them to a set of parameters for a physical (or, in some cases, relational) mathematical model of the unit. Statistical interpretation tempered with engineering judgment is required to arrive at realistic parameter estimates. Parameter estimation can be an integral part of fault detection and model discrimination. 

Parameter Estimation Relational and physical models require adjustable parameters to match the predicted output (e.g., distillate composition, tower profiles, and reactor conversions) to the operating specifications (e.g., distillation material and energy balance) and the unit input, feed compositions, conditions, and flows. The physical-model adjustable parameters bear a loose tie to theory with the limitations discussed in previous sections. The relational models have no tie to theory or the internal equipment processes. The purpose of this interpretation procedure is to develop estimates for these parameters. It is these parameters hnked with the model that provide a mathematical representation of the unit that can be used in fault detection, control, and design. 

The pumose of fault detection is to interpret the set of measurements to determine whether the operation of the unit has changed. This interpretation is done by monitoring the set of the measurements or by monitoring values for the significant unit parameters. It is done automatically as part of the computer control of the unit or periodically as when comparing one unit test to a subsequent one. 

Most ISO 9000 registered organizations claim to provide quality products and services, so why should there be so many dissatisfied customers when there are over 270,000 organizations in the world certified to ISO 9001, 9002, or 9003 One of the principal requirements in the standard is for the supplier to establish a quality system as a means of ensuring that product or service meet specified requirements. If an organization s products or services do not meet specified requirements then clearly the system has failed, but the failure is no fault of the standard - it is a fault of the way the standard has been applied and interpreted both by the organizations themselves and by the auditors who determine conformity. If the specified requirements are less than those of the customers, it is inevitable that products will bring dissatisfaction. This realization has, in the case of the automotive industry, led to two distinct needs ... 

This factor refers to the spatial organization of the information displays. In general, instruments displaying process parameters that are functionally related should also be physically close. In this way, it is likely that a given fault will lead to a symptom pattern that is easier to interpret than a random distribution of information. Although violation of this principle may not induce errors in a direct manner, it may hinder human performance. The following example illustrates this point. 

The core structure of the 1/2 [112] dislocation is shown in Fig. 4. This core is spread into two adjacent (111) plames amd the superlattice extrinsic stacking fault (SESF) is formed within the core. Such faults have, indeed, been observed earlier by electron microscopy (Hug, et al. 1986) and the recent HREM observation by Inkson amd Humphreys (1995) can be interpreted as the dissociation shown in Fig. 4. This fault represents a microtwin, two atomic layers wide, amd it may serve as a nucleus for twinning. Application of the corresponding external shear stress, indeed, led at high enough stresses to the growth of the twin in the [111] direction. 

Training courses are available in analytical methods of fault-tracing. Computers are also in use which monitor a number of parameters and draw attention to any observed abnormality. The control/ monitoring device may then make a judgement as to the cause, or this may rely on the interpretation of the operator. Considerable use is now made of logic control/monitoring devices which can oversee the operation of a large number of installations from a central computer/observation terminal. 

Data Reduction and Interpretation With the weight-dependent part of the hardness subtracted, see Fig. 4.12 (right), a residual standard deviation SH,res = 0.64 (kg) is obtained, being somewhat high, but still reasonable in view of the preliminary nature of the experiment. Thus it is improbable that the granulation is fully at fault. 

The correct interpretation of measured process data is essential for the satisfactory execution of many computer-aided, intelligent decision support systems that modern processing plants require. In supervisory control, detection and diagnosis of faults, adaptive control, product quality control, and recovery from large operational deviations, determining the mapping from process trends to operational conditions is the pivotal task. Plant operators skilled in the extraction of real-time patterns of process data and the identification of distinguishing features in process trends, can form a mental model on the operational status and its anticipated evolution in time. 

For the smaller particles which Include only a few tens or hundreds of atoms, any twinning or faulting reduces the range of ordering to the extent that the pattern can not be Interpreted In the same way as a pattern from an extended crystal. The Individual single-crystal regions may contain only two or three atomic planes. Interpretation can be made only by calculation of patterns from postulated models for the configurations of atoms (22). 

Lallemand and Jolivet (1986) have interpreted the opening of the Japan Sea as a pull-apart basin between two right-lateral strike-slip fault zones the Yagsan-Tsushima fault to the west and the Tartary-Hidaka shear zone to the east. 

Fiji Transform Fault Extensional Relay Zone A (16°10 S, 177°25 E) 1869-2335 Short spreading ridge axis which displaces Fiji transform fault as interpreted by Jarvis et al. (1994). Hydrothermal sulfide impregnation in MORB-like ba.salt dredged from axial valley. M etite, pyrrhotite, chalcopyrite and opal on fracture surface. 

Labels are distinguished based on whether they are context dependent or context-free. Context-dependent labels require simultaneous consideration of time records from more than one process variable context-free labels do not. Thus, generating context-free trend, landmark, and fault descriptions is considerably more simple than generating context-dependent descriptions. Context-free situations can take advantage of numerous methods for common, yet useful, interpretations. Context-dependent situations, however, require the application of considerable process knowledge to get a useful interpretation. In these situations, performance is dependent on the availability, coverage, and distribution of labeled process data from... 

This chapter provides a complementary perspective to that provided by Kramer and Mah (1994). Whereas they emphasize the statistical aspects of the three primary process monitoring tasks, data rectification, fault detection, and fault diagnosis, we focus on the theory, development, and performance of approaches that combine data analysis and data interpretation into an automated mechanism via feature extraction and label assignment. 

General considerations of data availability lead immediately to the recognition that detection systems are more likely to be designed as comprehensive numeric-symbolic interpreters as illustrated in Fig. 3. State description systems may be configured as shown in either Fig. 3 or Fig. 4. Fault classification systems are most likely to require the symbolic-symbolic mapping to compensate for limited data as shown in Fig. 4. Many practical data interpretation problems involve all three kinds of interpreters. In all situations, there is a clear need for interpretation systems to adapt to and evolve with changing process conditions and ever-increasing experience. 

With the view that a KBS interpreter is a method for mapping from input data in the form of intermediate symbolic state descriptions to labels of interest, four families of approaches are described here, each offering inference mechanisms and related knowledge representations that can be used to solve interpretation problems namely, model-based approaches, digraphs, fault trees, and tables. These methods have been heavily used... 

The interpretation of sterility results is divided into two stages by the USP relative to the type of sterility failure if one occurs. If sterility failure of the test samples occurred because of improper aseptic technique or as a fault of the test itself, stage 1 may be repeated with the same sample size. Sample size is doubled in a stage 2 testing, which is performed if microbial growth is observed in stage 1 and there is no reason to believe that the test was invalid. The only absolute method to guarantee the sterility of a batch would be to test every vial or ampoule. 

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