http://gisdownload.datapages.com/ExxonMobilTemplates.zip (error, sent AAPG message)
This zipped file contains geodatabase and xls (Excel) tables used by ExxonMobil in creating and editing geologic GIS feature classes and building attribute tables. AAPG Datapages, Inc. appreciates the efforts by the AAPG GIS Publication committee and ExxonMobil to release this GIS resource to the public through the OpenFile website of gisudril.aapg.org.
Here are the three simple steps for using the geodatabase: 1. Open a new ArcGis Project; 2. Click ArcToolbox -->Data Management Toos-->Feature Class-->Create Feature Class-->customize parameters and then hit "OK", a user-selected feature class will be automatically created/displayed in the TOC, 3. Start adding features and populating attribute table.
The accompanying Excel .xls file is a reference for the parameters and respective explanations utilized in the geodatabase.
This compilation shows key information about most of the largest known hydrocarbon accumulations in the world. Specific data include discovery year, hydrocarbon volumes, trap type, geologic age, reservoir lithology, and classification into global basin and geologic province domains. Also included is an extensive reference listing. This dataset complements several AAPG memoirs and series publications that address giant oil and gas fields.
Please note: This project is available in three formats: Shapefile, Geodatabase, and ArcReader.(The Shapefile and Geodatabase formats require GIS software; ArcReader uses free software that can be downloaded here.)
Source rock characteristics for 2,311 global locations have been collected and spatially enabled, using generic shapefile and ESRI ArcReader formats. The user can import the shapefile into a Geographic Information Systems (GIS) enabled software program to display and query the database. Alternatively, if the user does not have access to a GIS program, the freeware program ArcReader can be downloaded from ESRI to query the ArcReader project.
Data captured in the attribute table includes location, source rock lithology, environment, age, T.O.C. percent, organic matter type and reservoir characteristics. Additionally, the USGS basin name and code is referenced, as well as the Tellus basin name and code. Each source rock entry is referenced with the author, publication journal and title.
The project was peer-reviewed by members of the AAPG GIS Publications Committee and following integration of the feedback by the principle investigator, Dr. Mike Horn, was approved for publication. Mr. Joe Cross, Staff Geophysicist with ConocoPhillips Company and AAPG GIS Publications Committee member, designed and created the shapefile and ArcReader GIS projects.
Please note: This project, available as one zipped file, includes two formats: Shapefile and ArcReader.(The Shapefile format requires GIS software; ArcReader uses free software that can be downloaded here.)
Oil and gas (O&G) companies aim to manage seabed survey data based on sound geo-information management principles and practices. Historically, geographical features interpreted from seabed survey have been delivered in unstructured CAD files that have led to many difficulties in the management of survey data. These issues include the fact that data from different surveys has been difficult to integrate and share with joint venture partners. In view of these needs, the OGP Seabed Survey Data Model (SSDM) Task Force was formed in 2010 to define a standard GIS data model for seabed survey. This model can be used as a deliverable standard between O&G companies and survey contractors, as well as a sound data model for managing seabed survey data at an enterprise level within O&G companies. Version 1 of the SSDM package may be downloaded here. The zip will unpack itself into the following structure: 1 - Data Model Conceptual - contains pdf of the data model diagrams 2 - Data Dictionary - contains a pdf of the SSDM data dictionary 3 - Data Model Template - contains the geodatabase template, XML schema etc. 4 - Data Model Guidelines - contains pdfs of the user guide, FAQ document, SDE implementation guide etc. 5 - Symbology - contains ArcGIS symbology stylesheets 6 - Metadata - contains XML metadata files that can be assigned in ArcCatalog 7 - Feedback form Report 462-01 - Guidelines for the use of the Seabed Survey Data Model Report 462-02 - Guideline for the delivery of the Seabed Survey Data Model The SSDM v1 was launched at the ESRI Petroleum User Group in April 2011. The launch presentation may be downloaded here. Seabed Survey Data Model (SSDM) update presented at the OGP Geomatics Industry Day, October 2012, Kuala Lumpur, is available here. In March 2013 OGP Report No. 462-02 - Guideline for the delivery of the SSDM was published. The purpose of the document is to provide a technical specification for the delivery of seabed survey data in GIS format and in compliance with the OGP SSDM.
The OGP P6/11 seismic bin grid data exchange format defines the following parameters for a 3D seismic survey: Coordinate Reference System (CRS) and coordinate transformation parameters between global and local geodetic CRSMaster bin grid definition/coverage Bin grid origin and increments Scale factor of the bin grid Nominal bin width Full fold definition/coverage Since the creation of the original P6 format in 1998, Geographic Information System (GIS) has become a common application used by operators to manage, analyse and map geo-information. GIS enables integration of geo-information of which seismic positioning data is an essential component. The requirement to be able to visualise and use seismic bin grid definitions and data in GIS has become increasingly important for: Seismic positioning QC (is a bin grid in the correct geographic location relative to surrounding seismic surveys, wells, permits etc?) Improved spatial understanding of seismic coverage Linking survey outlines to documents to enable map based search for seismic acquisition and processing reports With this in mind, OGP has developed a GIS data model for the storage and visualisation of seismic bin grid definitions, that is based on the new OGP P6/11 seismic bin grid exchange format. The P6 GIS Data Model package may be downloaded here. The zip will unpack itself into the following structure: 0 - Data dictionary 1 - Guidance note - Report 483-6g 2 - Data Model template 3 - Symbology 4 - P6GML 5 - Example dataset 6 - Presentation 7 - Feedback form
Unified online dashboards to preserve business ip
Unified online Dashboards to
preserve Business IP
Preserving and protecting your geological assets in a time of crisis?
Geological Society, Burlington House, London, 29 June – 1 July, 2016
… standing man quietly succeeded despite all
In the current economic climate -
digital assets are resource companies’ stoyaschego
How is Business IP preserved -
before ‘the last to leave, turn the lights off’?
business process re-engineering tasks that spanned teams and tools can
now be unified online dashboards
data can be treated as an asset, meaningful and useful across departments,
to help the bottom line
Said one CDO (Network Rail, AGI Big5 2015)
I don't go to my clients with:
data this, or: standards that…
I don't ask: is our data clean?
I ask: is our asset in good shape?
I don't ask: do our data conform
to standards and procedures?
I ask: is our asset meaningful and
useful across our departments?
… And all of a sudden, I‘m not
imposing anything on anyone…
I am with them: helping do their
job in a greater context
Data should be treated as an asset…
Traded, exchanged, and moved around to help the organisation…
Perhaps we should talk to regulators in the City, and have data show up
on our balance sheets...
And trading works better with standards like coins, weights & measures
"Slide Diagram Courtesy of Energistics™
The following Energistics (c) product was used in the creation of this work:
Slide 4 of Energy Industry Meta Data Work Group Initiative Overview and Requirements presentation to ISO-19115 Revision Project team, Quebec City, Quebec, Nov 3-4 2009
One Rendering of the Vision (Energistics, 2010)
Exploration process optimization (Microsoft, 2010)
Schlumberger CEO Paul Kibsgaard (2016)
“… Based on this, we believe that project
performance can only be improved by finding
ways of breaking with the past and replacing
the existing model with a new approach based
on collaboration and commercial alignment
between the operators and the largest service
Scotia Howard Weil
2016 Energy Conference
New Orleans, 21 March 2016
Brian Goldin (Voyager) 21/03/2016 Spatial Reserves
Three Lessons for Improving Data Access:
Lesson one: Spotify for data
Lesson two: Google for GIS
Lesson 3. Amazon for geospatial
Olivier lePeuch (SLB, 2002)