نتایج جستجو برای: nphi
تعداد نتایج: 41 فیلتر نتایج به سال:
A case study testing the effectiveness of neural networks for permeability determination in heterogeneous media using basic rock properties is presented. The dataset used consists 213 core samples from Morrow and Viola formations Kansas, United States. characterizing parameters cores are porosity (ϕ), water oil saturations (Sw So), grain density (GD), additional variables well logs induction re...
estimation of reservoir water saturation (sw) is one of the main tasks in well logging. many empirical equations are available, which are, more or less, based on archie equation. the present study is an application of radial basis function neural network (rbfnn) modeling for estimation of water saturation responses in a carbonate reservoir. four conventional petrophysical logs (pls) including d...
Although strengthening health-care systems is receiving increased attention, strengthening public health systems and institutions could save far more lives at lower cost. Public health institutes monitor, implement, and oversee programmes to prevent disease. Life-saving and cost-saving programmes include immunisations, control of communicable diseases including diarrhoeal disease, reduction of ...
Globalization is as applicable to health issues as to those of trade and economics (1). The increased frequency of travel, distribution of goods, migration, spread of communications and marketing of new lifestyles have promoted a set of risks and health challenges shared by all countries of the world, despite their varied resources, levels of development, demographics and other important consid...
We have used a Wavelet Based Fractal Analysis (WBFA) and a Waveform Classifier (WC) to recognize lithofacies at the Oritupano A field (Oritupano-Leona Block, Venezuela). The WBFA was applied first to Sonic, Density, Gamma Ray and Porosity well logs in the area. The logs that give the best response to the WBFA are the Gamma Ray and NPHI (porosity) logs. In the case of the logs, the lithological ...
Prediction of Porosity and Sand Fraction from Well Log Data using ANN and ANFIS: a comparative study
Reservoir characterization is a difficult problem due to nonlinear and heterogeneous physical properties of the subsurface. In this context, we present a case study to compare Artificial Neural Network (ANN) with Adaptive Neuro Fuzzy Inference System (ANFIS) for predicting two reservoir characteristics: porosity and sand fraction from well log data. The predictor variables are gamma ray content...
The genome of Heliothis armigera entomopoxvirus (HaEPV) has been mapped with four restriction endonuclease enzymes (BamHI, HindIII, PstI and XhoI), and its length estimated at 233 kbp. An EcoRI-generated HaEPV genomic fragment hybridized to all fragments identified as genomic termini, providing the first experimental evidence for the presence of terminal repeat elements in an EPV genome. The Ha...
در این مطالعه، چگونگی گسترش رسوبی بخش ماسه سنگی اهواز و تعیین کیفیت مخزنی در سازند آسماری در میدان آغاجاری، مورد بررسی قرار گرفتند. بر اساس مطالعه 400 مقطع نازک از چاه های 30 ، 64 و 149 و ویژگی های مشاهده شده در این مقاطع 7 رخساره رسوبی در ارتباط با چهار زیر محیط ساحلی (عمدتاً جزرومدی)، لاگون، سد و دریای باز شناسایی گردید که در قسمت داخلی و میانی یک رمپ هموکلینال نهشته شده اند. این رسوبات تحت تا...
شناسایی پارامترهای مخزنی نقش بسیار مهمی در ارزیابی اقتصادی و توسعه مخزن دارد. به دلیل در دسترس نبودن داده های مغزه برای تمام چاه ها در یک میدان، امروزه مطالعه داده های زیرسطحی مانند لاگ های پتروفیزیکی و شناسایی رخساره های الکتریکی و برآورد پارامترهای مخزنی مانند تخلخل و تراوایی به یکی از کاربردی ترین روش های مطالعات مخزن تبدیل شده است. هدف اصلی این مطالعه بررسی تخلخل و تعیین نوع تخلخل و هم چنین...
Permeability is a vital parameter in reservoir engineering that affects production directly. Since this parameter's significance obvious, finding way for accurate determination of permeability essential as well. In paper, the two notable carbonate reservoirs (Ilam and Sarvak) southwest Iran was predicted by several different methods, level accuracy all models compared. For purpose, Multi-Layer ...
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