During the last two decades, Fuzzy Logic (FL) Systems have been increasingly applied to the research area of petroleum engineering. Hydraulic Fracturing (HF) as an important discipline in this area and stimulation of oil and gas wells is an important tool for natural gas and oil exploitation, whose success relies on proper selection of target well and target formation. To date, however, no pape...

A novel design of two-wheeled robotic vehicle with moving payload is presented in this paper. A mathematical model describing the vehicle dynamics is derived and simulated in Matlab Simulink environment. Two control strategies were developed to stabilise the vehicle in the upright position. A robust Proportional Integral-Derivative (PID) control strategy has been implemented and initially teste...

Abstract: A redundant mobile manipulator composed of a 3-wheeled nonholonomic mobile platform and a N-degrees of freedom (DOF) onboard manipulator is investigated in this paper. Redundancy for such a robot is exploited to avoid tipover via online adjusting self-motions. The dynamic model is established and a new tipover criterion is proposed considering inertia, gravity and acceleration. An onl...

In This paper, the authors propose a Sensorless Direct Torque and Flux Control (DTFC) of Induction Motor (IM) using two approach intelligent techniques: Mamdani Fuzzy Logic (FL) controller is used for controlling the rotor speed and Artificial Neural Network (ANN) applied in switching select stator voltage. We estimated the rotor speed by using the Model Reference Adaptive Systems (MRAS). The c...

This paper illustrates a novel technique based on FuTly Logic (FL) that allows both the prediction of pharmacological activity and the development of new compounds, showing a direction that is promising. The technique is based on the extraction of a fuzzy knowledge base. The paper gives two significant examples, which show that, by using the proposed technique, it is possible to predict the pha...

In this paper we extend the notion of  degrees of membership and non-membership of intuitionistic fuzzy sets to lattices and  introduce a residuated lattice with appropriate operations to serve as semantics of intuitionistic fuzzy logic. It would be a step forward to find an algebraic counterpart for intuitionistic fuzzy logic. We give the main properties of the operations defined and prove som...

Intelligent reservoir characterization using seismic attributes and hydraulic flow units has a vital role in the description of oil and gas traps. The predicted model allows an accurate understanding of the reservoir quality, especially at the un-cored well location. This study was conducted in two major steps. In the first step, the survey compared different intelligent techniques to discover ...

The decision-making on approval of environmental impact assessment (EIA) is an intrinsically complex multi-dimensional process because it does not only consider the scientific facts but also reflect subjective values. The use of decision-support methods to balance facts and values can be beneficial for decision makers. This paper attempts to propose an integrated decision-support framework that...

In this work, a neuro-fuzzy (NF) simulation study was conducted in order to screen candidate reservoirs for enhanced oil recovery (EOR) projects in Angolan oilfields. First, a knowledge pattern is extracted by combining both the searching potential of fuzzy-logic (FL) and the learning capability of neural network (NN) to make a priori decisions. The extracted knowledge pattern is validated agai...

The integration of Artificial Neural Network (ANN) learning and Fuzzy Logic (FL) approximate reasoning in one architecture, to overcome individual limitations and achieve synergetic effects through hybridization of these techniques, has in recent years contributed to a large number of Neuro-Fuzzy (NF) architectures. NF techniques override the classical control methods in many aspects, such as a...