Imagery for Oil & Gas Applications

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Making The Most of Your Digital Data Part II: Imagery for Oil & Gas Applications

by Kumar Navulur, V.P. Business Development, Pixxures Inc.

 

Digital imagery can be used for variety of applications in the Oil & Gas market. The following section details a variety of uses of imagery for both upstream as well as down stream applications.

 

Disturbance Analysis

Oil & Gas exploration activities result in environmental disturbances to local vegetation. Quantitative assessments of these disturbances are requisite as part of Environmental Impact Assessment studies. Remote sensing imagery is ideally suited for these applications. Some of the features that cause disturbance due to oil & gas exploration include oil pads, dirt roads, paved roads, two track roads, seismic cuts, and others. The following figure is an example of disturbed areas extracted from NAIP imagery at 1M resolution.

 

Further, areas that have been revegetated can also be identified using the imagery. Using GIS analysis, these disturbances can be aggregated by lease number and a report can be created summarizing various types of disturbances in a given lease as shown below:

 

Data Sources for Disturbance Analysis

The spatial resolution required for disturbance analysis is dependent on the features that need to be extracted. Typically 1M resolution or better is preferable to perform the analysis. Various data sources that can be used include satellite imagery from  Ikonos and  QuickBird satellites and a variety of aerial sensors including ADS40, UltraCam, DMC and DSS.  While hyper-spectral imagery can also be used for disturbance analysis, it is economical if the imagery is collected for multiple applications such as geologic mapping, vegetation identification, disturbance analysis, facilities mapping, etc.

 

Change Detection to Monitor Re-Vegetation Efforts

In exploration areas such as Wyoming, revegetation efforts might require several attempts of seeding to be successful. Remote sensing is an ideal tool for monitoring the success of revegetation efforts as well as quantifying acreage of revegetated areas.

 

Routing for Emergency Services and Logistics

Digital imagery can be used to extract the road network of both public and private roads, in remote areas.  websites such as Google, Yahoo, and others, do not have the detailed network that can be used for routing for emergency purposes or for logistics. The following figure is an example of roads extracted using digital imagery.

 

The following figure shows a web based application that can be used by Emergency Personnel as well as Oil & Gas companies for routing.

 

Vegetation Analysis

Color Infrared Imagery (CIR) imagery is useful for vegetation mapping. The following figure is an example of natural color imagery and corresponding CIR imagery of the same area. The vegetation has a stronger response in the Near Infrared region and shows up as a bright red color in the CIR image.

 

Different types of vegetation have unique spectral signatures, especially in the NIR band, and can be used to extract vegetation types such as grasses, trees, shrub, scrub, etc

 

Surface oil seepages affect the vegetation health and are manifested as dark red areas. Digital imagery can be used to identify these anomalies that are indicators of hydro-carbon seepages.

 

Facilities Mapping and Monitoring

Digital imagery can be used to map various oil & gas facilities and monitor changes such as new construction, etc.

 

Recommendations:

Author recommends that the digital multi-spectral imagery should be considered as an investment rather than a one-time expense due to the various uses of the imagery. When combined with other geospatial data, imagery can be leveraged for variety of applications, both upstream as well as downstream.

 

For more information, contact:

Kumar Navulur, V.P. Business Development, Pixxures Inc., knavulur@pixxures.com

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Figure 5. Comparison of Natural Color and CIR Images

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Figure 6. Extraction of Vegetation Using CIR Imagery

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Figure 1. Disturbance Analysis

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Figure 2. Disturbance Analysis Report

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Figure 3. Roads Extracted From Digital Imagery

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Figure 4. Web based Routing Tool using Road Network Extracted from Imagery

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Figure 7. Facilities Extraction

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