different methods exist for the zonation of oil reservoirs based on petrophysical data and well logs. among them are: permeability-porosity cross polt, pickett and soder and gill methods. in this study a statistical zonation technique has been used for the marun and pazanan oil reservoirs in iran based on effective porosity, density, sonic, neutron and resistivity data. petrophysical interpreta...

[1] Estimation of the three-dimensional (3-D) distribution of hydrologic properties and related uncertainty is a key for improved predictions of hydrologic processes in the subsurface. However it is difficult to gain high-quality and high-density hydrologic information from the subsurface. In this regard a promising strategy is to use highresolution geophysical data (that are relatively sensiti...

In this paper we present a method to integrate well test, production, shut-in pressure, log, core, and geological data to obtain a reservoir description for the Pagerungan field, offshore Indonesia. The method computes spatial distributions of permeability and porosity and generates a pressure response for comparison to field data. This technique produced a good match with well-test data from t...

We prove that any submodular function f : {0, 1}n → {0, 1, ..., k} can be represented as a pseudoBoolean 2k-DNF formula. Pseudo-Boolean DNFs are a natural generalization of DNF representation for functions with integer range. Each term in such a formula has an associated integral constant. We show that an analog of Håstad’s switching lemma holds for pseudo-Boolean k-DNFs if all constants associ...

We consider the k-difference and k-mismatch problems in the pseudo-realtime model where the text arrives online and the time complexity measure is per arriving character and unamortised. The wellknown k-difference/k-mismatch problems are those of finding all alignments of a pattern of length m with a text of length n where the edit/Hamming distance is at most k. Offline, the literature gives ef...

Bayes nets (BNs) for relational databases are a major research topic in machine learning and artificial intelligence. When the database exhibits cyclic probabilistic dependencies, measuring the fit of a BN model to relational data with a likelihood function is a challenge [5, 36, 28, 9]. A common approach to difficulties in defining a likelihood function is to employ a pseudo-likelihood; a prom...

This paper reviews the heat transfer model for geothermal reservoirs, fracture network in and numerical of hydraulic fracturing. The first section models, which contain single-porosity model, dual-porosity multi-porosity model; meanwhile mathematical equations porosity are summarized. Then, this introduces reservoirs method computational transfer. In second section, on basis conventional theory...

Rock classification or assigning a type or class to a specific rock sample based on petrophysical characteristics is a fundamental technique to reduce the uncertainty in prediction of reservoir properties due to heterogeneity. One of the popular approaches is to classify a reservoir rock from the fundamentals of geology and the physics of flow at pore network scale. In this approach, rocks of s...

Porosity is considered as an important petrophysical parameter in characterizing reservoirs, calculating in-situ oil reserves, and production evaluation. Nowadays, using intelligent techniques has become a popular method for porosity estimation. Support vector machine (SVM) a new intelligent method with a great generalization potential of modeling non-linear relationships has been introduced fo...