The increasing complexities of wellbore geometry imply an increasing well cost. It has become more important than ever to achieve an increased rate of penetration (ROP) and, thus, reduced cost per foot. To achieve maximum ROP, an optimization of drilling parameters is required as the well is drilled. While there are different optimization techniques, there is no acceptable universal mathematical model that achieves maximum ROP accurately. Usually, conventional mathematical optimization techniques fail to accurately predict optimal parameters owing to the complex nature of downhole conditions. To account for these uncertainties, evolutionary-based algorithms can be used instead of mathematical optimizations. To arrive at the optimum drilling parameters efficiently and quickly, the metaheuristic evolutionary algorithm, called the “shuffled frog leaping algorithm,” (SFLA) is used in this paper. It is a type of rising swarm-intelligence optimizer that can optimize additional objectives, such as minimizing hydromechanical specific energy. In this paper, realtime gamma ray data are used to compute values of rock strength and bit–tooth wear. Variables used are weight on bit (WOB), bit rotation (N), and flow rate (Q). Each variable represents a frog. The value of each frog is derived based on the ROP models used individually or simultaneously through iteration. This optimizer lets each frog (WOB, N, and Q) jump to the best value (ROP) automatically, thus arriving at the near optimal solution. The method is also efficient in computing optimum drilling parameters for different formations in real time. The paper presents field examples to predict and estimate the parameters and compares them to the actual realtime data.

References

References
1.
Amadi
,
K.
,
2012
, “
Application of Mechanical Specific Energy Techniques in Reducing Drilling Cost in Deepwater Development
,” Proceedings of the
SPE
Deepwater Drilling and Completions Conference, Galveston, TX, June 20–21, SPE Paper No. 156370.10.2118/156370-MS
2.
Monden
,
T.
, and
Chia
,
C. R.
,
2007
, “
Operation Support Centres—Real Time Drilling Optimization and Risk Mitigation
,” Proceedings of the
SPE
Saudi Arabia Technical Symposium, Dhahran, Saudi Arabia, May 7–8, SPE Paper No. 110950.10.2118/110950-MS
3.
Mostofi
,
M.
,
Shabazi
,
K.
, and
Rahimzadeh
,
H.
,
2010
, “
Drilling Optimization Based on the ROP Model in One of the Iranian Oil Fields
,” Proceedings of the
CPS/SPE
International Oil & Gas Conference and Exhibition, Beijing, China, June 8–10, SPE Paper No. 131349.10.2118/131349-MS
4.
Rashidi
,
B.
,
Hareland
,
G.
,
Tahmeen
,
M.
,
Anisimov
,
M.
, and
Abdorazakov
,
S.
,
2010
, “
Real-Time Bit Wear Optimization Using the Intelligent Drilling Advisory System
,”
Proceedings of the SPE Russian Oil & Gas Technical Conference and Exhibition
, Moscow, Russia, Oct. 26–28,
SPE
Paper No. 136006.10.2118/136006-RU
5.
Hoberock
,
L. L.
, and
Bratcher
,
G. J.
,
1998
, “
Dynamic Differential Pressure Effects on Drilling of Permeable Formations
,”
ASME J. Energy Resour. Technol.
,
120
(
2
), pp.
118
123
.10.1115/1.2795021
6.
Ohno
,
T.
,
Rowley
,
J. C.
,
Karasawa
,
H.
, and
Kosugi
,
M.
,
2004
, “
Proposed Practical Methods to Estimate Rock Strength and Tooth Wear While Drilling With Roller-Cone Bits
,”
ASME J. Energy Resour. Technol.
,
126
(
4
), pp.
302
310
.10.1115/1.1794696
7.
Nes
,
O.
,
Kristiansen
,
T. G.
,
Horsrud
,
P.
,
Fjaer
,
E.
, and
Tronvoll
,
J.
,
2012
, “
Drilling Time Reduction Through an Integrated Rock Mechanics Analysis
,”
ASME J. Energy Resour. Technol.
,
134
(
3
), p.
032802
.10.1115/1.4006866
8.
Reckmann
,
H.
,
Jogi
,
P.
, and
Herbig
,
C.
,
2007
, “
Using Dynamics Measurements While Drilling to Detect Lithology Changes and to Model Drilling Dynamics
,”
ASME
Paper No. OMAE2007-29710, pp.
915
924
.10.1115/OMAE2007-29710
9.
Aghababa
,
M. P.
,
Akbari
,
M. E.
,
Shotorani
,
A. M.
, and
Shotorbani
,
R. M.
,
2011
, “
Application of Modified Shuffled Frog Leaping Algorithm for Robot Optimal Controller Design
,”
Int. J. Sci. Eng. Res.
,
2
(
11
), pp.
1
6
.
10.
Rastegar
,
M.
,
Hareland
,
G.
,
Nygaard
,
R.
, and
Bashari
,
A.
,
2008
, “
Optimization of Multiple Bit Runs Based on ROP Models and Cost Equation: A New Methodology Applied for One of the Persian Gulf Carbonate Fields
,”
Proceedings of the IADC/SPE Asia Pacific Drilling Technology Conference and Exhibition
, Jakarta, Indonesia, Aug. 25–27, Paper No. IADC/SPE 114665. Available at: http://etd.lib.metu.edu.tr/upload/12611558/index.pdf
11.
Rampersad
,
P. R.
,
Hareland
,
G.
, and
Boonyapaluk
,
P.
,
1994
, “
Drilling Optimization Using Drilling Data and Available Technology
,” Proceedings of the III
Latin American/Caribbean Petroleum Engineering Conference
, Buenos Aires, Argentina, Apr. 27–29, SPE Paper No. 27034.10.2118/27034-MS
You do not currently have access to this content.