n estimated 407 billion barrels of A onshore discovered oil in the U.S. is non-recoverable with current drilling and production technolo- gies. Of that total, 218 billion bar- rels can be found at the relatively shallow depths of 5,000 feet or less.
Beginning: Microsoft Visual C# 2008 0 About the Authors 9 Credits 10 Contents 12 Introduction 30 Who This Book Is For 30 How This Book Is Structured 31 What You Need to Use This Book 34 Conventions 34 Source Code 35 Errata 35 p2p.wrox.com 36 Part I:
这是一本MDX非常好的书籍！ Acknowledgments xxi Introduction xxiii Chapter 1 A First Introduction to MDX 1 What Is MDX? 1 Query Basics 2 Axis Framework: Names and Numbering 5 Case Sensitivity and Layout 6 Simple MDX Construction 7 Comma (,) and Colon (:) 7 .Memb
Analytical Processing for Business Decisions High-level analytical queries, like those commonly used in Siebel Analytics, scan and analyze large volumes of data using complex formulas. This process can take a long time when querying an OLTP database
An in-depth look into Mac OS X and iOS kernels Powering Macs, iPhones, iPads and more, OS X and iOS are becoming ubiquitous. When it comes to documentation, however, much of them are shrouded in mystery. Cocoa and Carbon, the application frameworks,
The applications included in the product are separated into three functional components: • Data Logger which is responsible for acquiring data from the various tools and other sources and logging this data into the database. • GeoLogPlot is used to
This paper introduces an approach for drill wear detection. Tool failure in machining processes will result in damages to workpiece. In this approach sound signal of drilling operation is recorded and analyzed in both time and frequency domains. Tre
This Geological Society Special Publication is the result of a highly successful joint SEPM and Geological Society conference held in February 2005 in Houston, Texas. The papers attempt to capture the development of a new discipline, 'Seismic Geomor
Making obscure knowledge about matrix decompositions widely available, Understanding Complex Datasets: Data Mining with Matrix Decompositions discusses the most common matrix decompositions and shows how they can be used to analyze large datasets in
