Azerbaijan State Oil Academy

About: Azerbaijan State Oil Academy is a education organization based out in Baku, Azerbaijan. It is known for research contribution in the topics: Fuzzy logic & Computer science. The organization has 195 authors who have published 225 publications receiving 2713 citations.

Introduction to Soft Computing

Abstract: Artificial intelligence as a science has been existing for about 40 years now. The main problem of this science is replication of human reasoning processes and behavior with the aid of computers and other artificial devices as well as construction of machines simulating decision making by humans in imprecise and uncertain environments. In most cases these various areas, where precise models, methods, and algorithms for solving problems characterized by uncertainty are not available, are attributed to the field of artificial intelligence. Methods of artificial intelligence are based on two characteristic features: 1. Use of information in symbolic form i.e. letters, words, phrases, signs, figures; 2. Search with the aid of symbolic logic. When processing symbolic information, the computer converts the words and phrases to the form of binary digits. Then the computer recognizes or compares the sequences of such symbols (converted to digital form).

Numerical method of solving the inverse problem of water–oil plug displacement from an oil pool

Abstract: Introduction. It is known that artificially maintaining the pressure in a pool by waterflooding is one of the main technological methods of oil pool development. During flooding, as well as in a natural water-drive regime of development, oil is displaced from a pool by water. It is evident that to predict the performance of an oil deposit after its flooding, it is necessary to use a mathematical model of the process of water–oil displacement from a pool. Experimental and theoretical investigations of various processes proceeding during the development of oil deposits with the use of edge and circle water floodings show that under certain conditions it is sufficient to use the model of plug water–oil displacement to calculate the development. The model of plug displacement presupposes that one liquid is displaced or replaced by another (oil by water) completely and a distinct boundary is formed in the pool between two liquids which in motion obeys the earlier unknown law. It should be noted that efficient development of oil deposits by flooding depends greatly on the regimes of the extraction of oil and water injection into a pool which influence the dynamics of motion of the boundary between the liquids. The rate of motion of the oil–water boundary determines the deadlines of development and flooding, the coefficient of recovery, etc. In this connection, for the practice of the development of oil deposits with the use of flooding, a very important problem is that of regulation of motion of the boundary between two liquids in a pool. This problem is also of current interest for the development of gas fields with active edge or bottom water. The creation and maintenance of underground storages in water-bearing beds and depleted flooded deposits are also associated with the problem of motion of the boundary between two liquids. In the present work, the problem of regulation of motion of the boundary between two liquids is considered as an inverse boundary-value problem for the system of equations of plug displacement of oil from a pool by water. Statement of the Problem. Let there be a homogeneous oil-carrying bed located horizontally of length L and of constant thickness and width. At the boundary x = 0 there is the driving gallery, and at x = L, the operational gallery. At the moment t = 0 water starts being pumped down into the pool through the delivery gallery. In the pool, the oil is plug displaced by water in a rectilinear-parallel manner. It is assumed that the liquids are weakly compressible and that their motion in the pool obeys the Darcy law. Then, the system of equations that describes the process of plug displacement of oil by water in the pool considered can be represented in the following form [1]:

Soft computing based control system for catalytic cracking processes

Abstract: A hierarchical intelligent system for the catalytic cracking technological process control is suggested. It includes the fuzzy knowledge based level for decision making concerning the process optimal static mode; and the neuro fuzzy genetic based level for control of the dynamic of the process.

Use of Neural Networks for Identification of Artifacts in Electroencephalographic Signals Decomposed Using Wavelet Packet Transform

Abstract: An algorithm for automatic interference (artifact) detection is suggested. This algorithm detects interference (artifact) as a component of EEG signals. The algorithm is based on approximation of electrophysiological signal using neural network model decomposition using the wavelet packet transform.