خط مشی دسترسیدرباره ما
ثبت نامثبت نام
راهنماراهنما
فارسی
ورودورود
صفحه اصلیصفحه اصلی
جستجوی مدارک
تمام متن
منابع دیجیتالی
رکورد قبلیرکورد بعدی
Document Type : Latin Dissertation
Language of Document : English
Record Number : 149658
Doc. No : ET21450
Main Entry : NESTOR RIVERA VEGA
Title Proper : RESERVOIR CHARACTERIZATION USING WAVELET TRANSFORMS
Note : This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract : Automated detection of geological boundaries and determination of cyclic eventscontrolling deposition can facilitate stratigraphic analysis and reservoir characterization.This study applies the wavelet transformation, a recent advance in signal analysistechniques, to interpret cyclicity, determine its controlling factors, and detect zoneboundaries. We tested the cyclostratigraphic assessments using well log and core datafrom a well in a fluvio-eolian sequence in the Ormsltirk Sandstone, Irish Sea. Theboundary detection technique was tested using log data from 10 wells in the Apiay field,Colombia.We processed the wavelet coefficients for each zone of the Ormskirk Formationand determined the wavelengths of the strongest cyclicities. Comparing theseperiodicities with Milanltovitch cycles, we found a strong correspondence of the two.This suggests that climate exercised an important control on depositional cyclicity, ashad been concluded in previous studies of the Ormskirk Sandstone.The wavelet coefficients from the log data in the Apiay field were combined toform features. These vectors were used in conjunction with pattern recognitiontechniques to perform detection in 7 boundaries. For the upper two units, the boundarywas detected within 10 feet of their actual depth, in 90 tested for theQ1 PC1 bus cardBoth these projects mere sofixare des elopment efforts tonards contributing to dlfferentaspects of Roboucs and lZ1echatronics projects m the Controls and Roboucs Group..
Subject : Electericl tess
: برق
electronic file name : TL44616.pdf
Title and statement of responsibility and : RESERVOIR CHARACTERIZATION USING WAVELET TRANSFORMS [Thesis]
 
 
 
(در صورت عدم وضوح تصویر اینجا را کلیک نمایید)