TY - JOUR ID - TI - Prediction of Well Logs Data and Estimation of Petrophysical Parameters of Mishrif Formation, Nasiriya Field, South of Iraq Using Artificial Neural Network (ANN) AU - Abbas Kareem Abdulsahib Mohammed AU - Mohammed Kareem Dhaidan PY - 2023 VL - 64 IS - 1 SP - 253 EP - 268 JO - Iraqi Journal of Science المجلة العراقية للعلوم SN - 00672904 23121637 AB - Petrophysical properties including volume of shale, porosity and water saturationare significance parameters for petroleum companies in evaluating the reservoirs anddetermining the hydrocarbon zones. These can be achieved through conventionalpetrophysical calculations from the well logs data such as gamma ray, sonic,neutron, density and deep resistivity. The well logging operations of the targetedlimestone Mishrif reservoirs in Ns-X Well, Nasiriya Oilfield, south of Iraq could notbe done due to some problems related to the well condition. The gamma ray log wasthe only recorded log through the cased borehole. Therefore, evaluating thereservoirs and estimating the perforation zones has not performed and the drilledwell was abandoned. This paper presents a solution to estimate the missing openholelogs of Mishrif Formation including sonic, neutron, density and deep resistivityusing supervised Artificial Neural Network (ANN) in Petrel software (2016.2).Furthermore, the original gamma-ray log along with the predicted logs data fromANN models were processed, and the petrophysical properties including volume ofshale, effective porosity and water saturation were calculated to determine thehydrocarbon zones. The ANN Mishrif Formation models recorded coefficient ofdetermination (R2) of 0.65, 0.77, 0.82, and 0.04 between the predicted and the testedlogs data with total correlations of 0.67, 0.91, 0.84 and 0.57 for sonic, neutron,density, and resistivity logs respectively. The best possible hydrocarbon-bearingzone ranges from the depth of about 1980-2030 m in the mB1unit. The ANNprovides a good accuracy and data matching in clean and non-heterogeneousformations compared to those with higher heterogeneity that contain more than onetype of lithology. The Ns-X Well can, therefore, be linked to the development plansof the Nasiriya Field instead of neglect it.

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