engleski

Application of the bootstrap method in low-sampled Upper Miocene sandstone hydrocarbon reservoirs: a case study

Within geological analysis of subsurface data, some inputs may be scarce and include a small set of data. Such data set is under- sampled and mapping algorithms results in uncertainty outcomes. It then becomes necessary to obtain a reliable statistical data set of individual geological variables. The possibility of applying the bootstrap method on variables that are relevant in the exploitation and production of hydrocarbons, specifically the porosity and total cost of disposal formation water variables, was analysed. The case study was carried out on the data of reservoir "K", field "B" located in the western Sava Depression, Northern Croatia. The results showed the appropriateness of applying the bootstrap method as a tool for defining uncertainty intervals on each sampled location. It is also dependent on resampling data set sizes, which is shown on three examples. The determination of uncertainty intervals for both studied variables gives crucial information for future development projects involving mature hydrocarbons reservoirs, and can be further applied in all similar Upper Miocene proven sandstone reservoirs in the Northern Croatia. The porosity of the "K" reservoir is 0.2182 to 0.2506 at a resampling size of 2000, while the cost of disposal formation water value for field "B" is 2.31 to 2.69 USD/m3 at a resampling size of 1000.

Sava Depression in Northern Croatia ; bootstrap method ; geostatistics ; porosity ; cost of disposal formation water (CDFW)

Online first