نتایج جستجو برای: conventional petrophysical data

تعداد نتایج: 2608480  

A. Kadkhodaie A. Mahboubi M. R. Yosefpour N. Nabikhani, R. Moussavi-Harami

Sarvak formation, with the middle cretaceous (Cenomanian) age, is one of the stratigraphic units of the Bangestan group in the southern Iran. The carbonate rocks of this formation form the reservoir rock in the study field. Generally, Sarvak formation is subdivided into three members including Mishrif, Khatiyah, and Maddud in the Persian Gulf, and the average thickness of the reservoir unit (i....

2011
Marc Fleury

T1 NMR Relaxation and Petrophysical Properties Marc Fleury 1 1 IFP Energies Nouvelles NMR relaxation is routinely used in the field of geosciences to give basic petrophysical properties such as porosity, pore size distribution, saturation etc. In this tutorial, we will give the basic principle used in the interpretation of the NMR signal and compare the results with other standard petrophysical...

Shear wave velocity (Vs) data are key information for petrophysical, geophysical and geomechanical studies. Although compressional wave velocity (Vp) measurements exist in almost all wells, shear wave velocity is not recorded for most of elderly wells due to lack of technologic tools. Furthermore, measurement of shear wave velocity is to some extent costly. This study proposes a novel methodolo...

Journal: :فیزیک زمین و فضا 0
علی سیمی محمد حمیلی نژاد مصطفی رضایی غلامحسین نوروزی

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...

The classification of well-log responses into separate flow units for generating local permeability models is often used to predict the spatial distribution of permeability in heterogeneous reservoirs. The present research can be divided into two parts; first, the nuclear magnetic resonance (NMR) log parameters are employed for developing a relationship between relaxation time and reservoir poro...

2011
V. Shabro C. Torres-Verdín

We combine a new pore-scale model with a reservoir simulation algorithm to predict gas production in gas-bearing shales. It includes an iterative verification method of surface mass balance to ensure real-time desorption-adsorption equilibrium with gas production. The pore-scale model quantifies macroscopic petrophysical properties of formations using an algorithm of gas transport in porous med...

Journal: :Geomechanics and geophysics for geo-energy and geo-resources 2023

Abstract The present work aims to investigate the reservoir characterizations of Lower Cenomanian Baharyia Formation by creating isoparametic maps calculate petrophysical parameters and detect favorable parts for oil accumulations using available well logging data. is one main hydrocarbon sandstone reservoirs in northern Western Desert Egypt. About 90% field produces form Formation. This has be...

Journal: Geopersia 2018

Petrophysical evaluation of petroleum reservoirs is one of the most challenging tasks for hydrocarbon reserve determination. One critical petrophysical parameter is the water saturation which is normally calculated from Archie’s equation. Carbonate reservoirs, however, due to their complex mineralogy are not good candidates for Archie’s equation because Archie’s parameters are strongly dependen...

Journal: :Expert Syst. Appl. 2010
Willem Burgers Wim Wiegerinck Hilbert J. Kappen Mirano Spalburg

The exploration for oil and gas requires real-time petrophysical expertise to interpret measurement data acquired in boreholes and to recommend further steps. High time pressure and the far reaching nature of these decisions, as well as the limited opportunity to gain in depth petrophysical experience suggests that a decision support system that can aid the petrophysicist will be very useful. I...

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