TY - GEN
T1 - Novel lightweight biopolymer drilling fluid for underbalanced drilling
AU - Nee, Lim Symm
AU - Khalil, Munawar
AU - Jan, Badrul Mohamed
AU - Ali, Brahim Si
N1 - Funding Information:
The authors deeply appreciate the contribution from UMRG Sub-Program 6, Project number: RP016-2012F and the Center for Energy Science, Cluster of Advanced Engineering Technology (AET) at University of Malaya, the support of University of Malaya IPPP grant, Project number: PG130-2012B, Center for Energy Science, University of Malaya and the Department of Chemical Engineering, Faculty of Engineering, University of Malaya.
Publisher Copyright:
© 2016, Offshore Technology Conference
PY - 2016
Y1 - 2016
N2 - This research centres on optimizing the formulation of a water-based lightweight biopolymer drilling fluid using Design Expert for underbalanced drilling (UBD). Response Surface Methodology (RSM) was selected as a viable means to obtain the optimized drilling fluid formulation. Concentrations of four main raw materials (glass bubbles, clay, xanthan gum and starch) were varied in a suitable range to obtain the formulation with the desirable density, plastic viscosity (PV) and yield point (YP) for UBD application. Based on the results, the optimized drilling fluid can be formulated with 24.46% w/v of glass bubbles, 0.63% w/v of clay, 0.21% w/v of xanthan gum and 2.41% w/v of starch. The desirability factor, d for this optimum condition selected is 0.628. The mathematical models generated by RSM were able to predict the three response parameters well, as the experimental values were found to be in good agreement with the predicted values. The error is less than 1.0, standard deviation less than 0.5 and the accuracy is more than 98.5%. All mathematical models were quadratic in nature. The model used to predict the PV has an inverse square root transform. This drilling fluid is considered to be less harmful to the environment as it is water-based and, at the same time, composed of natural polymers (xanthan gum and starch) which are biodegradable. With this novel formulation, we could expect to drill more wells in underbalanced conditions to improve production of oil.
AB - This research centres on optimizing the formulation of a water-based lightweight biopolymer drilling fluid using Design Expert for underbalanced drilling (UBD). Response Surface Methodology (RSM) was selected as a viable means to obtain the optimized drilling fluid formulation. Concentrations of four main raw materials (glass bubbles, clay, xanthan gum and starch) were varied in a suitable range to obtain the formulation with the desirable density, plastic viscosity (PV) and yield point (YP) for UBD application. Based on the results, the optimized drilling fluid can be formulated with 24.46% w/v of glass bubbles, 0.63% w/v of clay, 0.21% w/v of xanthan gum and 2.41% w/v of starch. The desirability factor, d for this optimum condition selected is 0.628. The mathematical models generated by RSM were able to predict the three response parameters well, as the experimental values were found to be in good agreement with the predicted values. The error is less than 1.0, standard deviation less than 0.5 and the accuracy is more than 98.5%. All mathematical models were quadratic in nature. The model used to predict the PV has an inverse square root transform. This drilling fluid is considered to be less harmful to the environment as it is water-based and, at the same time, composed of natural polymers (xanthan gum and starch) which are biodegradable. With this novel formulation, we could expect to drill more wells in underbalanced conditions to improve production of oil.
UR - http://www.scopus.com/inward/record.url?scp=85051975325&partnerID=8YFLogxK
U2 - 10.4043/26376-ms
DO - 10.4043/26376-ms
M3 - Conference contribution
AN - SCOPUS:85051975325
SN - 9781510830721
T3 - Offshore Technology Conference Asia 2016, OTCA 2016
SP - 2945
EP - 2957
BT - Offshore Technology Conference Asia 2016, OTCA 2016
PB - Offshore Technology Conference
T2 - Offshore Technology Conference Asia 2016, OTCA 2016
Y2 - 22 March 2016 through 25 March 2016
ER -