Hadi Fattahi
Department of Mining Engineering, Arak University of Technology, Arak, Iran
[ 1 ] - Hybrid ANFIS with ant colony optimization algorithm for prediction of shear wave velocity from a carbonate reservoir in Iran
Shear wave velocity (Vs) data are key information for petrophysical, geophysical and geomechanical studies. Although compressional wave velocity (Vp) measurements exist in almost all wells, shear wave velocity is not recorded for most of elderly wells due to lack of technologic tools. Furthermore, measurement of shear wave velocity is to some extent costly. This study proposes a novel methodolo...
[ 2 ] - Multi-Output Adaptive Neuro-Fuzzy Inference System for Prediction of Dissolved Metal Levels in Acid Rock Drainage: a Case Study
Pyrite oxidation, Acid Rock Drainage (ARD) generation, and associated release and transport of toxic metals are a major environmental concern for the mining industry. Estimation of the metal loading in ARD is a major task in developing an appropriate remediation strategy. In this study, an expert system, the Multi-Output Adaptive Neuro-Fuzzy Inference System (MANFIS), was used for estimation of...
[ 3 ] - A Monte Carlo simulation technique for assessment of earthquake-induced displacement of slopes
The dynamic response of slopes against earthquake is commonly characterized by the earthquake-induced displacement of slope (EIDS). The EIDS value is a function of several variables such as the material properties, slope geometry, and earthquake acceleration. This work is aimed at the prediction of EIDS using the Monte Carlo simulation method (MCSM). Hence, the parameters height, unit specific ...
[ 4 ] - Predicting tensile strength of rocks from physical properties based on support vector regression optimized by cultural algorithm
The tensile strength (TS) of rocks is an important parameter in the design of a variety of engineering structures such as the surface and underground mines, dam foundations, types of tunnels and excavations, and oil wells. In addition, the physical properties of a rock are intrinsic characteristics, which influence its mechanical behavior at a fundamental level. In this paper, a new approach co...
[ 5 ] - Prediction of slope stability using adaptive neuro-fuzzy inference system based on clustering methods
Slope stability analysis is an enduring research topic in the engineering and academic sectors. Accurate prediction of the factor of safety (FOS) of slopes, their stability, and their performance is not an easy task. In this work, the adaptive neuro-fuzzy inference system (ANFIS) was utilized to build an estimation model for the prediction of FOS. Three ANFIS models were implemented including g...
[ 6 ] - Use of artificial intelligence techniques to predict distribution of heavy metals in groundwater of Lakan lead-zinc mine in Iran
Determining the distribution of heavy metals in groundwater is important in developing appropriate management strategies at mine sites. In this paper, the application of artificial intelligence (AI) methods to data analysis,namely artificial neural network (ANN), hybrid ANN with biogeography-based optimization (ANN-BBO), and multi-output adaptive neural fuzzy inference system (MANFIS) to estima...
[ 7 ] - An Estimation of Required Rotational Torque to Operate Horizontal Directional Drilling Using Rock Engineering Systems
Horizontal directional drilling (HDD) is widely used in soil and rock engineering. In a variety of conditions, it is necessary to estimate the torque required for performing the reaming operation. Nevertheless, there is not presently a convenient method to accomplish this task. In this paper, to overcome this difficulty based on the basic concepts of rock engineering systems (RES), a model for ...
[ 8 ] - Application of artificial intelligence methods for estimation of maximum surface settlement caused by EPB shield tunneling
Maximum surface settlement (MSS) is an important parameter for the design and operation of earth pressure balance (EPB) shields that should determine before operate tunneling. Artificial intelligence (AI) methods are accepted as a technology that offers an alternative way to tackle highly complex problems that can’t be modeled in mathematics. They can learn from examples and they are able...
[ 9 ] - پیش‌بینی گشتاور چرخشی موردنیاز برای انجام عملیات حفاری انحرافی در لایه‌های سنگی با استفاده از ترکیب شبکه عصبی مصنوعی و الگوریتم بهینه‌سازی مبتنی بر جغرافیای زیستی
امروزه عملیات حفاری انحرافی به‌طور گسترده‌ای در انواع شرایط زمین‌شناسی به کار می‌رود، اما استفاده بهینه از این فنّاوری در شرایط سنگی و سخت به دانش و تجربه بالای مهندسی نیاز دارد. مقدار گشتاور چرخشی یکی از پارامترهای بسیار مهمی است که باید برای انجام عملیات حفاری انحرافی پیش‌بینی شود. در این پژوهش جهت ارائه راهکار جدید برای پیش‌بینی گشتاور چرخشی موردنیاز برای انجام عملیات حفاری انحرافی در لایه‌ها...
[ 10 ] - Application of Soft Computing Methods for the Estimation of Roadheader Performance from Schmidt Hammer Rebound Values
Estimation of roadheader performance is one of the main topics in determining the economics of underground excavation projects. The poor performance estimation of roadheader scan leads to costly contractual claims. In this paper, the application of soft computing methods for data analysis called adaptive neuro-fuzzy inference system- subtractive clustering method (ANFIS-SCM) and artificial neu...
[ 11 ] - تخمین سرعت موج برشی در یکی از مخازن هیدروکربوری جنوب غربی ایران با استفاده از چاه‌نمودارهای مختلف و یک روش جدید ترکیبی هوشمند
تعیین سرعت موج برشی توسط روش‌هایی مانند آنالیز مغزه مستلزم صرف زمان و هزینه گزافی می‌باشد و همچنین به علت نبود مغزه‌های کافی و تغییرات سنگ‌شناسی و ناهمگنی سنگ مخزن، تعیین این پارامتر توسط روش‌های معمول از دقت چندانی برخوردار نمی‌باشد. همچنین تاکنون روابط تجربی فراوانی نیز در مورد محاسبه سرعت امواج برشی ارائه شده است، اما در بیشتر موارد استفاده از این روابط در مناطق مختلف نمی‌تواند مطلوب باشد....
[ 12 ] - تخمین تخلخل در یک مخزن هیدروکربوری با استفاده از ترکیب الگوریتم شبیه ساز تبرید و شبکه عصبی مصنوعی- مطالعه موردی
نخلخل یکی از خصوصیات اصلی ذخایر هیدروکربوری است که نشان دهنده حجم سیال منفذی و قابلیت حرکت کردن آن است. تعیین تخلخل توسط روش‌هایی مانند آنالیز مغزه مستلزم صرف زمان و هزینه گزافی می‌باشد و همچنین به علت نبود مغزه‌های کافی و تغییرات سنگ‌شناسی و ناهمگنی سنگ مخزن، تعیین این پارامتر توسط روش‌های معمول از دقت چندانی برخوردار نمی‌باشد. روش‌های هوش محاسباتی از روش‌های جدید، کم هزینه و دقیقی هستند که م...
[ 13 ] - Bayesian prediction of rotational torque to operate horizontal drilling
Horizontal directional drilling is usually used in drilling engineering. In a variety of conditions, it is necessary to predict the torque required for performing the drilling operation. Nevertheless, there is presently not a convenient method available to accomplish this task. In order to overcome this difficulty, the current work aims at predicting the required rotational torque (RT) to opera...
[ 14 ] - A New Method for Forecasting Uniaxial Compressive Strength of Weak Rocks
The uniaxial compressive strength of weak rocks (UCSWR) is among the essential parameters involved for the design of underground excavations, surface and underground mines, foundations in/on rock masses, and oil wells as an input factor of some analytical and empirical methods such as RMR and RMI. The direct standard approaches are difficult, expensive, and time-consuming, especially with highl...
Co-Authors