رکورد قبلیرکورد بعدی

" 3D SEISMIC INTERPRETATION AND SYNTHETIC MODELING OF THE ATOKA AND MORROW FORMATIONS, IN THE BUFFALO VALLEY FIELD (DELAWARE BASIN, NEW MEXICO, CHAVES COUNTY) FOR RESERVOIR CHARACTERIZATION USING NEURAL NETWORKS "


Document Type : Latin Dissertation
Language of Document : English
Record Number : 150821
Doc. No : ET22613
Main Entry : ALEJANDRO SANCHEZ A.
Title Proper : 3D SEISMIC INTERPRETATION AND SYNTHETIC MODELING OF THE ATOKA AND MORROW FORMATIONS, IN THE BUFFALO VALLEY FIELD (DELAWARE BASIN, NEW MEXICO, CHAVES COUNTY) FOR RESERVOIR CHARACTERIZATION USING NEURAL NETWORKS
Note : This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract : While the advantages of Artificial Neural Networks (ANN) for reservoir characterizationare widely known, this project expands such benefits by providing a method by which anANN can be trained prior to its application to real data. First, a geological and 3D seismicinterpretation of the lower Pennsylvanian Atoka-Morrow sequence in the Buffalo ValleyField, New Mexico was executed. Then, to design the ANN and to test its predictions, Igenerated well-logs and synthetic seismic models for seismic attributes extraction. Inorder to bridge the vertical resolution gap between well-logs (high resolution) andseismic data (low resolution), VSP data was added as an intermediate step to train theANN. This results in more effective predictions of density and sonic velocity values ofthe interval of interest.A synthetic model based on well-log correlation, seismic interpretation, and regionalinformation provided the data set for the ANN training. The synthetic modeling alsoguided the 3D seismic interpretation of the Atoka and Morrow Formations.The 3D seismic interpretation and well log characterization justified the subdivision ofthe Morrow Formation into three subunits. The....-...,..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 : TL45837.pdf
Title and statement of responsibility and : 3D SEISMIC INTERPRETATION AND SYNTHETIC MODELING OF THE ATOKA AND MORROW FORMATIONS, IN THE BUFFALO VALLEY FIELD (DELAWARE BASIN, NEW MEXICO, CHAVES COUNTY) FOR RESERVOIR CHARACTERIZATION USING NEURAL NETWORKS [Thesis]
آدرس ثابت

پیوستها
عنوان :
نام فایل :
نوع عام محتوا :
نوع ماده :
فرمت :
سایز :
عرض :
طول :
TL45837.pdf
TL45837.pdf
پایان نامه لاتین
متن
application/octet-stream
14.65 MB
85
85
نظرسنجی