Well Data Management

Managing the display of markers and well logs within GeoTeric is now easier in GeoTeric 2018.1

Posted on 18 Jun 2018 | By Rachael Moore Read More

GeoTeric 2018.1 What's New

Validate – new Module!

Posted on 14 May 2018 | By Julia Frick Read More

GeoTeric is pleased to sponsor the AAPG Young Professionals - London Chapter

GeoTeric to sponsor the AAPG Young Professionals - London Chapter event on May 22, 2018

Posted on 27 Apr 2018 | By Tanya Arrowsmith Read More

GeoTeric 2018.1: Master Project

GeoTeric’s Master Project functionality allows the user to transfer data from a Master Project containing all key data, into a Client Project which can be worked on individually. It also allows for project items such as horizons and faults to be seamlessly transferred between Client Projects.

The Master Project will be available with the release of GeoTeric 2018.1

Posted on 26 Apr 2018 | By Abdul Cader Read More

GeoTeric 2018.1: Interpretation Enhancements

With the upcoming release of GeoTeric 2018.1, a variety of enhancements to the Adaptive Interpretation tools will be added, in addition to a Master Project option, a Report View and the release of the Validate module.

One of the interpretation enhancements in GeoTeric 2018.1 will be the ability to edit horizons in the Base Map by polygon – either those picked previously in GeoTeric or newly picked in the Base Map. The polygons can be used to fill horizon interpretations or delete them.

Posted on 18 Apr 2018 | By Abdul Cader Read More

GeoTeric Link for Petrel

GeoTeric allows seamless connectivity to your existing interpretation platform through GeoTeric’s core Interpret module.  The links included with GeoTeric are:  Link for Petrel1 and the Link to DecisionSpace2. A Link for Paleoscan3 is available as a separate module.

Posted on 13 Apr 2018 | By Luis Gomez Read More

Multi-Well Import

One of the least known features within GeoTeric is the option for importing multiple well deviation files at once. This can be used for rapidly loading data from mature fields that may already have significant well control. This feature is built into the normal well loading process and is easy to use. The key to rapidly loading multiple deviation files, is that all files must be in the same directory and must have the same format. Single cell values, such as well name, must be in the same location, and all data must be in the same columns in all files.

Posted on 29 Mar 2018 | By Jacob Smith Read More

Rapid Generation of Fault Sticks from an Existing Adaptive Fault Interpretation

GeoTeric’s Adaptive Fault Interpretation is a powerful data driven and interpreter guided method of structural interpretation. Since the Graph Theory algorithm is used by the Adaptive Interpretation System to generate data following results, not many fault sticks are required to generate an accurate fault plane in GeoTeric, allowing for an efficient method of interpretation.

Posted on 08 Mar 2018 | By Abdul Cader Read More

Steering your analysis in the right direction

Dip and Azimuth volumes are used in several ways in GeoTeric, from processes such as Noise Cancellation (SO FMH & SO Noise filters) to attribute generation (SO Semblance, SO Dip Derivative, SO Discontinuity, Flexure, etc...). The majority of these filters/attributes have the symbol SO in front of them, indicating they are Structurally Oriented.  In GeoTeric, structurally oriented indicates that Dip and Azimuth volumes are needed to steer the filters/attributes along the regional geological trends of the input cube to give an improved result.  The use of steering volumes guides the filters in the direction of the geology rather than the grid or in the direction of the noise in the volume. In this blog post, an example of Noise Cancellation is used to show the importance of choosing the correct steering volumes for your purpose.

Posted on 26 Feb 2018 | By Ryan Williams Read More

Tips for Enhancing your data in GeoTeric

As part of GeoTeric’s Data Conditioning workflow, the Spectral Expression Tool is used to shape your spectrum to increase the frequency content in your data in order to improve the vertical resolution of your data. 

Posted on 09 Feb 2018 | By Rachael Moore Read More