D-Tect Seismic Object Detection System. d-Tect project Objective: –Develop and test a seismic interpretation system around Statoil’s patent-pending object.

Slides:

Advertisements

Similar presentations

Figures Cluster World Oct OpendTect article

Advertisements

Microsoft Developer Network Academic Alliance Overview.

Pat Langley Computational Learning Laboratory Center for the Study of Language and Information Stanford University, Stanford, California

Construction Documents and Details

OpenCV Introduction Hang Xiao Oct 26, History  1999 Jan : lanched by Intel, real time machine vision library for UI, optimized code for intel 

Carrier Ethernet Network Solutions: The Benefits of End-To-End Ethernet Service Management Slide 1 Carrier Ethernet Network Solutions: The Benefits of.

|| Dmitry Laptev, Joachim M. Buhmann Machine Learning Lab, ETH Zurich 05/09/14Dmitry Laptev1 Convolutional Decision Trees.

PETREL INTRODUCTION G&G

How to apply SSIS on 2D Seismic G. de Bruin. Sequence stratigraphic interpretations The sequence stratigraphic analysis comprises of 3 steps: Setup and.

Introduction to Programming. COMP104 Lecture 1 / Slide 2 Objectives * To learn fundamental problem solving techniques: n define a problem n design an.

Microsoft Office System UK Developers Conference Radisson Edwardian, Heathrow 29 th & 30 th June 2005.

Ameriranikistan Muhammad Ahmad Kyle Huston Farhad Majdeteimouri Dan Mackin.

Sixth Edition 1 M a n a g e m e n t I n f o r m a t i o n S y s t e m s M a n a g I n g I n f o r m a t i o n T e c h n o l o g y i n t h e E – B u s i.

A new way to monitor System Automation configuration file LUDIWAC Helcia Conseil.

Biomedical Image Analysis and Machine Learning BMI 731 Winter 2005 Kun Huang Department of Biomedical Informatics Ohio State University.

Business Intelligence components Introduction. Microsoft® SQL Server™ 2005 is a complete business intelligence (BI) platform that provides the features,

The information herein is for informational purposes only and represents the opinions and views of Project Botticelli and/or Rafal Lukawiecki. The material.

CMPUT 617 (Topics in Computing Science): Advanced Image Analysis Nilanjan Ray Fall 2012 Computing Science University of Alberta.

Waters Corporation Connecting Data to Decisions John Swallow Principal Engineer Waters Data Products

GeoTango Globe™ Distributed and Interoperable Visualization Exploitation & Fusion Technology for COP Vincent Tao, PhD, Founder Simon Stachniak, Globe Product.

Copyright © 2015, Drillinginfo, Inc. All right reserved. All brand names and trademarks are the properties of their respective companies. 1 DI Transform:

Chapter 13 Genetic Algorithms. 2 Data Mining Techniques So Far… Chapter 5 – Statistics Chapter 6 – Decision Trees Chapter 7 – Neural Networks Chapter.

Team 1 Introduces…. Overview Faster More Aesthetically pleasing Improved File Organization Structure Improved security Enhanced Productivity.

User Manager Pro Suite Taking Control of Your Systems Joe Vachon Sales Engineer November 8, 2007.

Geology 5660/6660 Applied Geophysics 24 Feb 2014 © A.R. Lowry 2014 For Wed 26 Feb: Burger (§8.4) Last Time: Industry Seismic Interpretation Well.

Cluster Reliability Project ISIS Vanderbilt University.

Overview of implementations openBGP (and openOSPF) –Active development Zebra –Commercialized Quagga –Active development XORP –Hot Gated –Dead/commercialized.

Today Q1Q3Q1Q3Q1Q3Q1Q3Q1Q Beta Oct 15 Meeting May 1 Version 2 Jan 10 Presentation May 1 Testing 2.1 Nov 1 Checkpoint Jan 1.

Develop Interpretation Strategy 4 4 Objectives Develop Interpretation Strategy -Observe the challenges on the data (data quality, fault complexity, event.

Versus JEDEC STAPL Comparison Toolkit Frank Toth February 20, 2000.

Visualization of Massive Volumetric Data Sets Bradley Wallet Robert Wentland Jawad Mokhtar

Yazd University, Electrical and Computer Engineering Department Course Title: Advanced Software Engineering By: Mohammad Ali Zare Chahooki 1 Introduction.

EVENT DETECTION IN TIME SERIES OF MOBILE COMMUNICATION GRAPHS

Vertical Fluid Migration Through Faults

How to create property volumes

A method using Neural networks and directive attributes to detect and display fluid indicators in seismic cubes Paul Meldahl Statoil ASA.

Huffman Coding The most for the least. Design Goals Encode messages parsimoniously No character code can be the prefix for another.

Implementing Fast Image Processing Pipelines in a Codesign Environment Accelerate image processing tasks through efficient use of FPGAs. Combine already.

WHAT IS DATA MINING?  The process of automatically extracting useful information from large amounts of data.  Uses traditional data analysis techniques.

Connect with life Cheryl Johnson VSTS Solution Expert | Canarys Automations Pvt Ltd Performance Testing.

Tackling I/O Issues 1 David Race 16 March 2010.

WHAT IS DATA MINING?  The process of automatically extracting useful information from large amounts of data.  Uses traditional data analysis techniques.

OPERATING SYSTEM BASICS. What is an operating system and what does it do? The operating system has two basic functions: –communicates with the PC.

教育卡（电子卡）身份信息认证指导（学生）. 身份信息认证渠道教育卡管理中心为学生提供了 “ 教育卡官方网站 ” 和 “ 教育人人通客户端 ” 两种认证渠道。 1 教育人人通客户端 2 ●● 您可以在教育卡网站的 “ 人人通客户端 ” 版块下载江苏教育人人通客户端。

© Copyright Mistras Group Inc MISTRAS GROUP CONFIDENTIAL Noesis Noesis specializes in Acoustic Emission (AE) data analysis including real-time software.

Panorama Tools H2T2 Group Capstone Project. H2T2 Group TungNS Project Manager HoaHM DesignerHuongP DeveloperThoND Tester.

WAN Technologies. 2 Large Spans and Wide Area Networks MAN networks: Have not been commercially successful.

Network Management Lecture 13. MACHINE LEARNING TECHNIQUES 2 Dr. Atiq Ahmed Université de Balouchistan.

Big Data Analytics and HPC Platforms

Data Mining, Machine Learning, Data Analysis, etc. scikit-learn

What is Software Test Automation?

Welcome! Power BI User Group (PUG)

Past and Future Phase 2 – Summary & Phase 3 – Future of FORCE

Paolo Dell’Aversana, Gianluca Gabbriellini, Alfonso Amendola Eni SpA

Machine Learning for dotNET Developer Bahrudin Hrnjica, MVP

Paradigm and WITSML November 2005

Socrative Question #1 Which of the following would be the person most likely to be installing new network routers for a business or organization? Computer.

ViaCC leakage detection of smoke, steam and liquids

© 2013 ExcelR Solutions. All Rights Reserved Examples of Random Forest.

Seismic Facies Analysis

Intelligent Interpretation: From Here to Where?

National Library of Medicine Segmentation and Registration Toolkit

Microsoft Virtual Academy

Data Mining, Machine Learning, Data Analysis, etc. scikit-learn

Data Mining, Machine Learning, Data Analysis, etc. scikit-learn

Classes of seismic attributes?

Convergence of Big Data and Extreme Computing

Presentation transcript:

d-Tect Seismic Object Detection System

d-Tect project Objective: –Develop and test a seismic interpretation system around Statoil’s patent-pending object detection technology. –Provide inexpensive but scalable hardware solutions (PC, Sun, SGI) Sponsors: –dGB, Geocap, Dutch government, Norwegian government, Statoil, Conoco, Chevron, Forest Oil, ……..

Statoil’s patent-pending technology Use of directional attributes in combination with supervised and unsupervised learning approaches (neural networks) to detect seismic objects. Example applications: –TheChimneyCube® –TheFaultCube® –Any other object e.g. DHIs, Sequences, Stratigraphic features, fractures etc. ® Registered Trademark of dGB

Time schedule Beta release:1 Jan D visualization, attributes, median filter... Release 1.0:1 Apr Neural nets, OpenSpirit™ … Release 2.0:1 Jul Edge detection, extraction algorithms...

Deliverables New algorithms, optimized detection schemes Processed object cubes (chimneys, faults etc.) Revolutionary 3D interpretation software –Free edition: d-Tect “research” –Commercial edition: d-Tect “enterprise” –Free development environment: “Timbuctu”

d-Tect “research”: free edition 3D visualization Menus, scripting, file-tree.. Median dip filter Attribute engine I/O Segy, Ascii x x x Directional attributes: data-driven and user-steered Before After

d-Tect “enterprise”: commercial edition Neural nets New algorithms From texture-enhanced volumes to models OpenSpirit™ data access

“Timbuctu”: free environment Rapid Application Development environment for 3D seismic interpretation and modeling