Multiscale evaluation of a thin-bed reservoir

• Autorzy: Lis-Śledziona Anita

Identyfikatory

DOI

10.7494/geol.2021.47.1.5

• Języki publikacji: EN

Abstrakty

EN

A thin-bed laminated shaly-sand reservoir of the Miocene formation was evaluated using two methods: high resolution microresistivity data from the XRMI tool and conventional well logs. Based on high resolution data, the Earth model of the reservoir was defined in a way that allowed the analyzed interval to be subdivided into thin layers of sandstones, mudstones, and claystones. Theoretical logs of gamma ray, bulk density, horizontal and vertical resistivity were calculated based on the forward modeling method to describe the petrophysical properties of individual beds and calculate the clay volume, porosity, and water saturation. The relationships amongst the contents of minerals were established based on the XRD data from the neighboring wells; hence, the high-resolution lithological model was evaluated. Predicted curves and estimated volumes of minerals were used as an input in multimineral solver and based on the assumed petrophysical model the input data were recalculated, reconstructed and compared with the predicted curves. The volumes of minerals and input curves were adjusted during several runs to minimalize the error between predicted and recalculated variables. Another approach was based on electrofacies modeling using unsupervised self-organizing maps. As an input, conventional well logs were used. Then, the evaluated facies model was used during forward modeling of the effective porosity, horizontal resistivity and water saturation. The obtained results were compared and, finally, the effective thickness of the reservoir was established based on the results from the two methods.

Słowa kluczowe

EN

thin beds; high resolution well logs prediction; horizontal resistivity; unsupervised neural network; self-organizing map; SOM; electrofacies; low resistivity pay

PL

cienkie warstwy; opór powierzchniowy; sieć neuronowa ANN; mapy samoorganizujące się(SOM); elektrofacje

• Wydawca: Wydawnictwa AGH
• Czasopismo: Geology, Geophysics and Environment
• Rocznik: 2021
• Tom: Vol. 47, no. 1
• Strony: 5--20
• Opis fizyczny: Bibliogr. 18 poz., rys., tab., wykr.

Twórcy

autor

Lis-Śledziona Anita

• Oil and Gas Institute – National Research Institute, Krakow, Poland

• https://orcid.org/0000-0003-3067-3014

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).