Predicting permeability is a cornerstone of petroleum reservoir engineering, playing a vital role in optimizing hydrocarbon recovery strategies. This paper explores the application of neural networks to predict permeability in oil reservoirs, underscoring their growing importance in addressing traditional prediction challenges. Conventional techniques often struggle with the complexities of subsurface conditions, making innovative approaches essential. Neural networks, with their ability to uncover complicated patterns within large datasets, emerge as a powerful alternative. The Quanti-Elan model was used in this study to combine several well logs for mineral volumes, porosity and water saturation estimation. This model goes be

Abstract

In light of the great technological development and the emergence of globalization has increased global competition, where it became competitive exercise pressure on all sectors. In light of this companies mast enviorment depend on the means that keeps them on the competitive position through access to information about competitors in order to help them to draw a strategy that will achieve a competitive edge either through excellence or reduce the costs of their products and this means intelligence competitive and reverse engineering that help to gain information on competitors analyze and put of the decision-maker From this point formed the idea of ​​research in the statement of the role of

A new scheme of plasma-mediated thermal coupling has been implemented which yields the temporal distributions of the thermal flux which reaches the metal surface, from which the spatial and temporal temperature profiles can be calculated. The model has shown that the temperature of evaporating surface is determined by the balance between the absorbed power and the rate of energy loss due to evaporation. When the laser power intensity range is 107 to108 W/cm2 the temperature of vapor could increase beyond the critical temperature of plasma ignition, i.e. plasma will be ignited above the metal surface. The plasma density has been analyzed at different values of vapor temperature and pressure using Boltzmann’s code for calculation of elec

Ultrasound was used as a green technology to preserve food and food products. So, an experiment was conducted to compare three periods of ultrasound treatment of table eggs, 1, 2, and 3 minutes, using a conventional ultrasound device, in terms of quality characteristics, which included yolk height, yolk diameter, yolk index, white height, yolk weight, percentage and egg components percentage during 0, 1, 2, 4, and 8 weeks of refrigerated storage. A total of 240 fresh table eggs (red-shell eggs) were collected randomly from a flock of 20,000 Lohmann laying hens at Al-Amir Commercial Project Farm in Al-Musayyab city, Iraq. The eggs were divided into 4 treatments (60 eggs/treatment); T1: control, T2: ultrasound for 1 min. T3: ultrasound for 2

Ultrasound has used as a green technology to preserving food and food products, it destroys pathogenic microorganisms without side effect and preserving the organoleptic properties. So, an experiment was conducted to compare three periods of ultrasound treatment of table eggs, 1, 2, and 3 minutes, using a conventional ultrasound device, in terms of bacterial count during 0, 1, 2, 4, and 8 weeks of refrigerated storage. A total of 240 fresh table eggs (red-shell eggs) were collected randomly from a flock of 20,000 Lohmann laying hens at Al-Amir Commercial Project Farm in Al-Musayyab city, Iraq. The eggs were divided into 4 treatments (60 eggs/treatment); T1: control, T2: ultrasound for 1 min. T3: ultrasound for 2 min. and T4: ultrasound for

Infrastructure, especially wastewater projects, plays an important role in the life of residential communities. Due to the increasing population growth, there is also a significant increase in residential and commercial facilities. This research aims to develop two models for predicting the cost and time of wastewater projects according to independent variables affecting them. These variables have been determined through a questionnaire distributed to 20 projects under construction in Al-Kut City/ Wasit Governorate/Iraq. The researcher used artificial neural network technology to develop the models. The results showed that the coefficient of correlation R between actual and predicted values were 99.4% and 99 %, MAPE was

This work provides a historical overview of water storage tanks used for solar energy collection, with a focus on the impact of different geometric configurations on thermal performance and energy storage efficiency. The designs of cylindrical, spherical, rectangular and triangular tanks were reviewed to analyse their effects on thermal gradients, heat retention and energy storage capacity. Within the scope of nominal processes, the study primarily aimed to identify the factors influencing the choice of tank shape in terms of size, capacity and aspect ratio. Another key objective was to assess what enhances heat storage in the tank to improve thermal efficiency. Comparing cylindrical shapes to other shapes, such as spherical, rectan

This study aims to demonstrate the role of artificial intelligence and metaverse techniques, mainly logistical Regression, in reducing earnings management in Iraqi private banks. Synthetic intelligence approaches have shown the capability to detect irregularities in financial statements and mitigate the practice of earnings management. In contrast, many privately owned banks in Iraq historically relied on manual processes involving pen and paper for recording and posting financial information in their accounting records. However, the banking sector in Iraq has undergone technological advancements, leading to the Automation of most banking operations. Conventional audit techniques have become outdated due to factors such as the accuracy of d