Traditionally pore throat size distribution data is measured using mercury intrusion porosimetry (or MICP). However, this is not always possible /appropriate, so we can also offer pore size distribution data generated from analysis of scanning electron microscope (SEM) images. This methodology is applicable to any lithology (and is well-suited to very fine-grained sediments such as micritic limesonte / chalk). Data can also be collected from fragments of a specific lithology within cuttings samples, extending the “reach” of capillery-pressure type measurements into uncored intervals.
SEM images are collected systematically over an area of, or of random fields within, a polished thin-section. Following segmentation of the images into pores and “grains” (everything else), detailed information on pore volumes and pore sizes is collected.
These results can be used alongside other measures of pore volume and pore size when modelling permeabilities (e.g. helium porosities, mercury intrusion data, and nuclear magnetic resonance data).
The strategy for image collection is dependant upon the nature of the sample and its pore system. The SEM magnification is set according to the range in pore size we are attempting to characterise. Depending upon the samples, we may collect images from random, non-contiguous fields over the sample area, or regularly distributed, overlapping fields (that can also be stitched into deep zoom photomontages).
Image analysis routines are used to normalise images to consistent grey-scales and to remove any shading effects. Pores are then segmented from grains and, where required, more advanced routines are used to separate / subdivide touching / connected macropores from one another.
Pore sizes and areas are measured and the results processed to provide total pore areas and pore size distribution data.
Results provided include:
Summary data (pdf format; including summary and plot shown as below),
Detailed results (individual pore measurements including pore area, diameter, and other parameters, in xlsx format), and
either all the original collected images or stitched photomontages (as appropriate, in .tif and/or .jpg format).
Textural Analysis provides basic data on sandstone grain size, which almost invariably exerts some degree of control on final reservoir quality (either directly, or indirectly depending upon the degree of diagenetic overprinting). The grain size data is also useful for calibration of core grain size in heavily cemented sediments, where original grain size is not always easy to determine in core, and cannot be measured accurately using bulk approaches (e.g. seive analysis or laser particle sizing).
We provide the raw data, as well as summary statistics including averages, sorting and other measures of spread and skew – including systematic grain size classification (in ½Φ bins).
We offer sample descriptions at a range of level of detail, from summary descriptions focussed on a specific set of feature(s) in a sample or sample set, up to completely-comprehensive characterisation of all aspects of the sample.
There is always a temptation to “scrimp-and-save” a little on this aspect of petrographical studies, but this is the time where the real detail and intricacies of samples can be investigated and documented.
Scanning Electron Microscopy (SEM) can be carried out as a stand-alone service, or in support of other petrographical analyses / descriptions. We can analyse a range of sample types including small rock chips (“stub” samples) and polished thin-sections, as well as other materials.
Our main uses for SEM imaging and analysis are:
Detailed characterisation of clay mineralogy and other microcrystalline components (and their associated microporosity)
Elucidation of paragenetic relationships
Investigation of zoning and chemical variability within cements.
Systematic / automated collection of images for pore image analysis
Preparation of petrographical montages for deep zoom imaging
Because we have Scanning Electron Microscope capabilities in-house, we can offer a rapid turnaround / hotshot analysis of samples. (Many geological materials can be analysed with a minimum of preparation – the samples only need to be dry and, in the case of samples containing liquid hydrocarbons, light cleaning is also required ).
Modal analysis (point counting) data provides fundamental information on the composition of your samples, including:
Original detrital mineralogy.
Nature and abundances of macropores.
Data / results are presented in spreadsheet format, integrated onto individual sample descriptions and used extensively throughout our reports on various plots and diagrams. The phases differentiated during modal analysis are tailored on a project-by-project basis – and can be designed to be consistent with existing datasets for mature fields, or compliant with the inputs required for “Touchstone” modelling.