Tezislər / Theses

THE 3
rd
 INTERNATIONAL SCIENTIFIC CONFERENCES OF STUDENTS AND YOUNG RESEARCHERS 
dedicated to the 99
th
anniversary of the National Leader of Azerbaijan Heydar Aliyev
73
ANALYSIS OF SIMULATION AND OPTIMIZATION OF DRILLING 
PARAMETERS FOR DRILLING EFFICIENCY 
Orkhan Mammadov
Baku Higher Oil School
Baku, Azerbaijan 
[e-mail] 
Supervisor: Associate Professor Gasham Zeynalov 
Key words:
ROP Simulation, Drilling Optimization, New strategy for drilling 
It is undeniably accepted that effective drilling process is highly dependent 
on good simulation process which is being followed by optimization of some 
parameters such as WOB, RPM, hydraulics program, etc. Of course, 
efficiency of drilling process satisfies its cost effectiveness and in order to 
have cost reduction in drilling process, time spent on that should be 
decreased which depends on ROP (Hareland et al. 2008). Several models 
regarding on ROP have been deduced by different researchers from various 
experiments and after looking through these models and their equations, 
some problematic parameters are being encountered. One of these 
parameters is UCS which is being considered one of the most effective 
parameters. In order to get UCS of rock, coring process should be done after 
which laboratorial analysis are needed to become operated. On the other 
hand, these processes are very expensive (coring process) and time 
consuming (laboratorial analysis). Due to this fact UCS of formation rocks 
cannot be obtained for entire interval which makes the model less accurate. 
While some alternative methods have been developed for getting UCS 
values of rock. The more accurate ones among suggested methods are 
inverting ROP models of nearby drilled wells, Wireline data analysis, 
Application of AI (Artificial Intelligence), etc. While, it should be mentioned 
that application of sonic velocity data is not so effective, as its results depend 
on other parameters such as cementation, weathering (the most influential 
parameter is weathering), tectonic disruption and huge pore spaces. 
Furthermore, the mineral composition of the rock is essential, as are porosity, 
water content, density, and particle size, all of which are known to impact 
wave velocity, compressive strength, and slake durability. (Tanaino, 2005), 
(Olivera et al.1993), (Brown, 1981), (Bell, 1993),. Additionally, due to some 
technological matters, human factor and other unwanted issues, there can 
be some deviations from actual numbers in some parameters. In order to 
tackle with that Data Quality Control and Pressure Differential Correlations 
should be used in order to get more accurate results (Fazaelizadeh et al. 
2010). Besides, inaccuracies in lithological data input, variations in lithology, 
irrelevant calibration of measurement devices, pore pressure variations and 

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