Light and electron microscope images analysed and integrated with digital technologies reduce the time for rock characterisation.
The development of innovative technologies capable of meeting the challenges posed by increasingly complex assets is essential when it comes to studying the subsurface. We apply the digital methodologies of pattern recognition and machine learning techniques to optical analysis. In the field of electron microscopy, we have developed the PICADOR (Porosity Image Analysis of Reservoir Rocks), a proprietary approach focusing on the characterisation of the porous system, i.e. the set of microscopic pores in reservoir rocks that, a bit like a 'sponge', retain natural gas and other hydrocarbons within them. Using the PICADOR system, in particular, we can reconstruct the geometric characteristics of porous systems through images taken from thin rock sections. This approach can also be used in the context of CO₂ capture and storage (CCS) to quantify the effects of carbon dioxide injection.
A further cognitive approach we have developed is the MINSYS (Mineralogy Site Specific), focusing on determining the chemical compositions of site-specific minerals.
In this case, the information gathered makes it possible to obtain the thermodynamic parameters of the ores themselves, which are then used for the numerical modelling of flow and transportation and transportation of fluids. This modelling takes into account the chemical and physical interactions between rock and fluid, is performed with the MuFloTSw (Multiphase Flow and Transport in Homogeneous and Fractured Systems) proprietary software.
Industrialisation
Carbon management
Geophysical exploration
Natural gas and other hydrocarbons
The use of digital technologies has made the analysis process more efficient and versatile, allowing us to study even smaller sample sizes. Our laboratories are equipped with a triaxial device, one of only three in the world, which is capable of performing full geomechanical analyses on 1 cm rock samples.
Other fundamental analysis tools for small samples are the X ray microtomography and digital rock physics. These make it possible to obtain a static three-dimensional image of the porous space of the rock under study and to conduct virtual laboratory experiments. The result is similar to that obtained by the experiment on a real rock sample, but with extremely reduced execution time and material consumption. All this information is complementary and is supplemented with images collected by the electron microscope (SEM).
Sample analysed by the X-ray microtomography
Tomography for the 3D view of the movement of fluids inside the rock samples
Computerised Axial Tomography (CAT) of cores to characterise the rock of the subsoil
Rock sample
Our laboratories are also equipped with proprietary software, including the 4D-CoreINV©, which allows us to interpret dynamic experiments performed under a 3D tomography and instantly extract much of the input data required for numerical simulation.
Unlike the experiments conducted with the microtomography, these are dynamic because they consist of injecting fluids into the rock sample and filming its movement in 3D with a resolution of 50 microns. Thanks to Eni's HPC supercomputer, the software processes the amount of data acquired (approx. 10 million numbers) in just a few hours.
We conduct analyses on rock samples taken by core drilling which a great deal of valuable information can be extracted from. The volume of data collected is sent to the supercomputers of the Eni Green Data Centre, is processed and then integrated in a very short time.
of coring wells
carried out per core sample
sample sizes used for analysis
resolution of geomechanical analysis of the triaxial device
of coring wells
carried out per core sample
sample sizes used for analysis
resolution of geomechanical analysis of the triaxial device
Our analyses are based on rock samples extracted through the coring, which consists of digging small yet very deep exploratory well, from which so-called 'cores', i.e. long cylindrical sections of underground rock, are extracted. From cores taken from wells at a depth of around 4,000 metres and brought to the surface, it is possible to extract a wealth of invaluable information, using both experimental and digital protocols. We can run up to 1,000 analyses per core sample, obtaining a detailed characterisation of the pores, their interconnections and fluid interactions. In our core archive we have stored hundreds of kilometres of core samples.
To limit costs and operational risks and promote the sustainability of our activities, we are now able to extract small cores from the walls of wells (approximately 1-1.5 inches). These cores, properly sampled thanks to new technologies, instrumentation, analytical protocols, and constantly updated skills, allow us to run the same analyses and characterisations as those carried out on traditional cores.
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EnergIA (ener'dʒia) is a system based on Generative Artificial Intelligence.
Thanks to this technology, we can respond to your requests by querying the most relevant content and documents available on eni.com. (Note: financial documents from the last 12 months and press releases from the last 2 years are considered.)
Through EnergIA, you can delve into topics of interest and have a real-time window into the world of Eni.
If you wish to search for a specific document, press release or news, use the traditional search engine via the magnifying glass icon.
Like all systems that leverage Generative Artificial Intelligence, EnergIA may generate inaccurate or outdated responses. Always consult the sources that EnergIA proposes as the origin of the generated information.
If the system fails to find an exact match for the requested content, it still tends to provide a response.
If you find any inaccuracies in the provided response, please send us your feedback at the bottom of the page: it will be very helpful for us to improve.
Remember that the content generated by the system does not represent Eni’s official position. We therefore invite stakeholders to refer to their designated contacts for official statements: Press Office for journalists, Investor Relations for analysts and investors, Company Secretariat for shareholders etc..
EnergIA can understand questions posed in almost all languages, but we prefer to provide you with a response in English or Italian, the two languages available on eni.com. If you ask a question in Italian, the content on the site in Italian will be consulted. If you ask it in English or any other language, the content in English will be consulted. (Note: the language Eni uses for financial documents/content is predominantly English.)
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