- Tytuł:
-
Petrofizyczne aspekty poszukiwań naftowych na dużych głębokościach
Petrophysical aspects of hydrocarbon prospecting and exploitation in deeper targets - Autorzy:
- Such, Piotr
- Powiązania:
- https://bibliotekanauki.pl/articles/1834095.pdf
- Data publikacji:
- 2020
- Wydawca:
- Instytut Nafty i Gazu - Państwowy Instytut Badawczy
- Tematy:
-
duże głębokości
analiza ekonomiczna
warunki złożowe
bazy danych
deeper targets
economical analysis
reservoir conditions
data base - Opis:
- We are entering the second stage of prospecting hydrocarbons in Poland. The potential volume of gas in various types of unconventional reservoirs is huge. Deep lying sediments in the Carpathians and in the Polish Lowland (the Rotliegend Basin and the Devonian) are prospective gas basins, but it is possible to find them deeper than 3000 m. Additionally, in contrast with shale gas, other types of unconventional reservoirs provide a big chance for profitable exploitation, however it requires application of complex, modern methods of investigation and very careful calculation of all prices connected with facilities of such types of reservoirs. Deeper targets means great drilling costs. Unconventional type means that compressibility of rocks and reservoir fluids, as well as high temperatures and pressures, must be taken into account. These two factors result in the main problem being economical profitability. Real economical analysis is possible after creating a numerical reservoir model with evaluation of the volume of hydrocarbons, the number of necessary wells and the potential production rate. The numerical model requires well logs and laboratory analyses. A part of laboratory analyses must be performed in simulated reservoir conditions. These analyses are expensive and time consuming. So, is it possible to reduce the costs and the time of model creation? For example, is it possible to create a full numerical model on the basis of the first well. Yes, if we have an appropriate data base (date base from the sedimentary basin in which we found a reservoir with a statistically correct number of core analyses performed in simulated reservoir conditions). In such a situation we can apply artificial intelligence methods and rock typing methods and evaluate petrophysical parameters for the whole reservoir. To sum up, the key to proper evaluation and exploitation scheduling will be the analyses performed in simulated reservoir conditions and big data.
- Źródło:
-
Nafta-Gaz; 2020, 76, 8; 502-506
0867-8871 - Pojawia się w:
- Nafta-Gaz
- Dostawca treści:
- Biblioteka Nauki
Artykuł