We make extensive use of optical microscopy for both collection of petrography data (textural and modal analysis) and also for more descriptive work.
We are well equipped with research grade, Zeiss optical microscopes capable of :
Transmitted plane and cross polarised light
Reflected illumination (for investigation of reflective minerals)
All the microscopes are equiped with digital cameras (with live view imaging on attached PC’s), and we have stepping stages (but driven using our own, in-house, software) that we use for modal analysis and acquisition of images for preparation of digital thin-sections and deep zoom images.
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).
We use epifluorescence predominantly to investigate the character and distribution of hydrocarbons trapped within fluid inclusions. Our system is equipped with a Zeiss HBO UV illuminator and “Epiplan Neofluar” objectives covering a wide range of magnifications (x1.25 up to x100). Using the digital camera attached to this microscope we are able to capture images of specific inclusions under the very low light levels that are commonly encountered during epifluorescence imaging.
The colour of the fluorescence is a reflection of the composition of the hydrocarbon, and can be used in a qualitative sense to approximate oil API gravity. Where samples have seen multiple generations of hydrocarbon of differing compositons / maturities, epifluorescence can be used to differentiate between different generations of fluids. This, combined with microthermometric analysis of the fluid inclusions, can be used to reconstruct filling / fluid histories.
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).
Dumped with a load of data, collected from numerous wells over a long time period, by different analysts, that appear to be inconsistent?
For mature fields, there is often a wealth of legacy petrographical and reservoir quality information that is lost within volume after volume of single well characterisation studies and interim reports. This data may, or may not, have been previously integrated and properly incorporated into reservoir models.
There are a number of strands to taking this data and bringing it back to life:
the logistics of mining the data from paper or scanned documents and compiling them into digital formats for deeper interrogation.
understanding from a geological and petrographical perspective what the data actually mean, and assimilating it into an internally consistent database.
once an internally consistent database is assimilated, it can then be properly interrogated and interpreted.
If legacy samples (e.g. thin-sections) are still available, then these can be used to further refine the observations using more modern instrumentation.
What are fluid inclusions and why might you want to analyse them?
Fluid inclusions are fluid-filled vacuoles sealed within minerals. Using a combination of microscopy techniques, and specialised equiment to measure the temperatures at which the trapped fluids undergo various phase changes, we can derive information about the temperature and pressure conditions, as well as indications of the compositions of the fluid(s) present, during mineral growth and inclusion trapping.
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.
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.
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 ).