New Correlation for Calculating Porosity Using density log by applying artificial neural networks and uncertainty analysis: An application in the Mishrif Formation, South Iraq

Ali Yahya Jirjees, Senior Reservoir Engineer/ministry of oil north oil companyFollow
Heba Ismaeel Alsaegh, Petroleum Department, College of Engineering, AlKitab University, Altun Kupri, Kirkuk, Iraq

Article Type

Research Paper

Abstract

Petrophysical properties consider a major objective to determine potential reservoir zones, estimate hydrocarbons present, and appraise recoverable hydrocarbons. prediction of the reservoir's petrophysical characteristics is one of the most Petroleum engineers’ challenges that overcome by advancing and using soft computing technologies in engineering matters. In present study a new correlation is developed to calculate porosity in term of RHOB well log, by using data of three wells in Mishrif Formation southern Iraq, constructed by utilizing two techniques are multi-layer regression (MLR) integrated with artificial neural network (ANN) technique. P90 porosity results mean 10 % uncertain porosity and 90 % confidence. New equation results are equal or near to P90 Porosity this led to the new equation minimized the systematic and deterministic error. Considering all it knows; the current study provides a unique framework for porosity estimate by utilizing the ANN model.

Keywords

Reservoir; Porosity Calculation, Uncertainty, well log, Artificial Neural network, petrophysics, Mishrif Formation, South Iraq.

Recommended Citation

Jirjees, Ali Yahya and Alsaegh, Heba Ismaeel (2025) "New Correlation for Calculating Porosity Using density log by applying artificial neural networks and uncertainty analysis: An application in the Mishrif Formation, South Iraq," Egyptian Journal of Petroleum: Vol. 34 : Iss. 3 , Article 9.
Available at: https://doi.org/10.62593/2090-2468.1077