Projects / Programmes
Simulations of particle transport for surveying formations by nuclear radiation
| Code |
Science |
Field |
Subfield |
| 2.03.05 |
Engineering sciences and technologies |
Energy engineering |
Systematic research |
| Code |
Science |
Field |
| T160 |
Technological sciences |
Nuclear engineering and technology |
surveying of formations, nuclear radiation, natural energy resources, oil-well logging, Monte Carlo particle transport
Researchers (2)
| no. |
Code |
Name and surname |
Research area |
Role |
Period |
No. of publicationsNo. of publications |
| 1. |
14625 |
PhD Marko Maučec |
Energy engineering |
Head |
2002 - 2004 |
142 |
| 2. |
05097 |
PhD Matjaž Ravnik |
Energy engineering |
Researcher |
2002 - 2004 |
439 |
Organisations (1)
| no. |
Code |
Research organisation |
City |
Registration number |
No. of publicationsNo. of publications |
| 1. |
0106 |
Jožef Stefan Institute |
Ljubljana |
5051606000 |
90,768 |
Abstract
Penetrating nuclear radiation posses attractive properties to characterise formations. In petroleum exploitation the lithology and fluids in oil-well logging applications are routinely surveyed with neutron and -ray nuclear sondes. To extract quantitative information the complex processes of particle transport have to be described adequately. The Monte Carlo simulations enable an accurate and faithful description of a postulated physical system and are, compared to experiments, fast and cost-effective. In this proposal, we opt for development of advanced Monte Carlo computational techniques in logging of geological formations for the quest of natural energy resources, such as oil, gas or ore. To computationally differentiate between slightly different material properties of surrounding formation from a region abundant with hydrocarbon-rich substance we will apply perturbation Monte Carlo methods and solve the inverse problem. In addition to the oil-well logging research the proposed method will be applied to the broader field of surveying materials by nuclear radiation: sedimentology, based on the analysis of natural gamma-radiation, non-destructive testing, identification of explosive objects and materials and for criticality safety assessment of nuclear waste storage facilities.
