Notebooks

Getting Started

Start here if you are new to INTEGRATE

Getting started with INTEGRATE

Getting started with INTEGRATE - with no forward code

Getting started with INTEGRATE - posterior analysis only

The complete Workflow

The complete INTEGRATE workflow in one notebook

The complete INTEGRATE workflow: from data to posterior

Data

Joint inversion is supported by using multiple data types. The first example splits a single tTEM data set (with both low and high moment), into two separate data sets, one for low, and one for high. These data can then be inverted seperately, or jointly.

Dual data types (low and high moment seperately)

Borehole data can also be used, either as a single data type, or in combination with tTEM data.

Borehole data in INTEGRATE – representation and integration

Noise

INTEGRATE allows for using both correlated and uncorrelated Gaussian noise models.

Synthetic Case Study example with different noise models (uncorrelated/correlated)

Hypothesis testing

Daugaard Case Study with geology-resistivity-category prior models.

Daugaard Case Study with three lithology-resistivity prior models.

Qureying the posterior

query: Posterior Query Tool

Synthetic Case

INTEGRATE Synthetic Case Study example

Plotting

Profile Visualization in INTEGRATE

Other

Data, and noise, in linear or log space

INTEGRATE on ESBJERG data

Merging multiple data files from the same survey (ESBJERG)

INTEGRATE Timing Analysis Example

INTEGRATE -Generic Prior Model Generation Examples

INTEGRATE - Demonstration of merge_prior() function