نتایج جستجو برای: including dredging reservoirs by traditional methods
تعداد نتایج: 8145675 فیلتر نتایج به سال:
Suppose there is a given data set and there are a huge number of hypotheses [1] about this data set [2]. If the data is totally random, then say all the hypotheses are actually false. However, owing to the sheer number of hypotheses on a limited data set, it is possible to see some very highly correlated [3] data that are statistically significant [4]. In such cases, data dredging is said to ha...
This article describes an approach based on artificial neural network to identify waterflooded zone of continental clastic reservoirs. For the logging sequence of waterflooded zone matching the characteristics of the continental oilfield, the application of artificial neural network algorithm is able to distinguish water layers, oil reservoirs and dry layers among reservoirs of waterflooded zon...
Micro-Earthquake Data Processing and Analysis System (MEPAS), a Software for Geothermal Applications
NEDO has developed MEPAS, a software for exploration of geothermal reservoir. MEPAS has bcen developed as a tool for geologists to analyze earthquakes and find fractures by comparing earthquakes with other exploration data. MEPAS consists of a seismic data processing part and a geological analysis part. The geological analysis part features 3D display, time and space distribution display, fract...
nanotechnology is a general term which is related with field of all advanced science term that generally predicates with all modern technologies which consider nanoscales. improvement in the quality of products by adding some nanoparticles and study of their behavior in the presence of these nanoparticles have been obtained in many researches. on the other hand numerous demands for sowing ...
Subaqueous dredging is a management activity undertaken globally to improve navigation, remove contaminants, mitigate flood risk and/or generate aggregate. Water Injection Dredging (WID) hydrodynamic technique involving the turbation and downstream displacement of fine sediments using vessel-mounted water jets. Despite being widely applied internationally, environmental ecological effects WID a...
ods produce a model from a set of examples. Despite the maturity of these algorithms, decisions that result from models are unlikely to be correct if data have been used indiscriminately. This is part of the so-called data-dredging problem (Smith and Shah 2002). Figure 1 shows a bemusing example: U.S. spending per annum on science, space, and technology is highly correlated with suicides by han...
recent years have witnessed an increased attention to form focused instruction and consciousness raising activities (ellis, 2002; doughty & williams, 1998) on the one hand and extensive and meaningful exposure to the target language (klapper & rees, 2003; day & bamford, 1998) on the other. due to significance attributed to above mentioned issues by scholars, this study attempted to bridge them ...
The effect of dredge capture on the escape response ž / of the great scallop, Pecten maximus L. : implications for the survival of undersized discards Abstract The effect of simulated dredge capture on the swimming escape response of the great scallop, Pecten maximus, was assessed in order to determine the potential for mortality in undersized discards. Three experiments were carried out: first...
The rates of infection of two methods of external ventricular drainage in use at Atkinson Morley's Hospital--namely, (a) percutaneous drainage with Rickham reservoirs and (b) tunnelled ventriculostomies--were compared in this retrospective review. Percutaneous drainage of CSF with Rickham reservoirs was associated with a 27% rate of infection as identified by positive microbiological cultures; ...
This paper proposes a novel architecture for continuous spatio-temporal data modeling and pattern recognition utilizing evolving probabilistic spiking neural network ’reservoirs’ (epSNNr). The paper demonstrates on a simple experimental data for moving object recognition that: (1) The epSNNr approach is more accurate and flexible than using standard SNN; (2) The use of probabilistic neuronal mo...
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