New Relations of Water Saturation’s Calculus from Well Logs

Development of an Intelligent System to Synthesize Petrophysical Well Logs

Porosity is one of the fundamental petrophysical properties that should be evaluated for hydrocarbon bearing reservoirs. It is a vital factor in precise understanding of reservoir quality in a hydrocarbon field. Log data are exceedingly crucial information in petroleum industries, for many of hydrocarbon parameters are obtained by virtue of petrophysical data. There are three main petrophysical...

an improvement of water saturation calculation using well logs and laboratory data in carbonate hydrocarbon reservoirs

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Quantifying Asymmetric Semantic Relations from Query Logs by Resource Allocation

In this paper we present a bipartite-network-based resource allocation(BNRA) method to extract and quantify semantic relations from large scale query logs of search engine. Firstly, we construct a queryURL bipartite network from query logs of search engine. By BNRA, we extract asymmetric semantic relations between queries from the bipartite network. Asymmetric relation indicates that two relate...

Facies classification from well logs using an inception convolutional network

The idea to use automated algorithms to determine geological facies from well logs is not new (see e.g Busch et al. (1987); Rabaute (1998)) but the recent and dramatic increase in research in the field of machine learning makes it a good time to revisit the topic. Following an exercise proposed by Dubois et al. (2007) and Hall (2016) we employ a modern type of deep convolutional network, called...

Reservoir Properties from Well Logs using neural Networks