Field-Based Drilling Fluid Design Optimization Methodology Successfully Mitigated Time-Dependent Shale Instability in Khafji Field

2009 ◽  
Author(s):  
Marwan Ahmad Qadmani ◽  
Mohammad Ahmed Mohiuddin ◽  
Kazuaki Kumamoto ◽  
Chee Phuat Tan ◽  
Magdalena Povstyanova
Keyword(s):  
Design Optimization ◽  
Drilling Fluid ◽  
Time Dependent ◽  
Optimization Methodology ◽  
Fluid Design

Successful Mitigation of Time-Dependent Shale Instability in Khafji Field through Drilling Fluid Design Optimization

2009 ◽  
Author(s):  
Chee Phuat Tan ◽  
Marwan Ahmad Qadmani ◽  
Magdalena Povstyanova ◽  
Mohammed Ahmed Mohiuddin ◽  
Mohd Helmi Abd Rahim
Keyword(s):  
Design Optimization ◽  
Drilling Fluid ◽  
Time Dependent ◽  
Fluid Design

scholarly journals Time-Dependent Reliability-Based Design Optimization Utilizing Nonintrusive Polynomial Chaos

2013 ◽  
Vol 2013 ◽  
pp. 1-16 ◽  
Author(s):  
Yao Wang ◽  
Shengkui Zeng ◽  
Jianbin Guo
Keyword(s):  
Design Optimization ◽  
Structural Reliability ◽  
Polynomial Chaos ◽  
Time Dependent ◽  
Fe Model ◽  
Reliability Based Design Optimization ◽  
Wear Process ◽  
Reliability Based Design ◽  
Optimization Methodology ◽  
Wear Law

Time-dependent reliability-based design optimization (RBDO) has been acknowledged as an advance optimization methodology since it accounts for time-varying stochastic nature of systems. This paper proposes a time-dependent RBDO method considering both of the time-dependent kinematic reliability and the time-dependent structural reliability as constrains. Polynomial chaos combined with the moving least squares (PCMLS) is presented as a nonintrusive time-dependent surrogate model to conduct uncertainty quantification. Wear is considered to be a critical failure that deteriorates the kinematic reliability and the structural reliability through the changing kinematics. According to Archard’s wear law, a multidiscipline reliability model including the kinematics model and the structural finite element (FE) model is constructed to generate the stochastic processes of system responses. These disciplines are closely coupled and uncertainty impacts are cross-propagated to account for the correlationship between the wear process and loads. The new method is applied to an airborne retractable mechanism. The optimization goal is to minimize the mean and the variance of the total weight under both of the time-dependent and the time-independent reliability constraints.

Optimization of Drilling Fluid Design for Managing Wellbore Instability in K-Shale in the Malay Basin of Peninsular Malaysia

2002 ◽  
Author(s):  
C.P. Tan ◽  
Mohd Azriyuddin Yaakub ◽  
X. Chen ◽  
D.R. Willoughby ◽  
Pauziyah Abdul Hamid ◽  
...  
Keyword(s):  
Drilling Fluid ◽  
Peninsular Malaysia ◽  
Wellbore Instability ◽  
Fluid Design

Robustness Metrics for Time-Dependent Quality Characteristics

2011 ◽  
Author(s):  
Xiaoping Du
Keyword(s):  
Design Optimization ◽  
Robust Design ◽  
Quality Characteristics ◽  
Time Dependent ◽  
Robust Design Optimization ◽  
Time Interval ◽  
Mechanism Analysis ◽  
Quality Loss ◽  
Time Period ◽  
Robustness Metrics

Quality characteristics (QC’s) are often treated static in robust design optimization while many of them are time dependent in reality. It is therefore desirable to define new robustness metrics for time-dependent QC’s. This work shows that using the robustness metrics of static QC’s for those of time-dependent QC’s may lead to erroneous design results. To this end, we propose the criteria of establishing new robustness metrics for time-dependent QC’s and then define new robustness metrics. Instead of using a point expected quality loss over the time period of interest, we use the expectation of the maximal quality loss over the time period to quantify the robustness for time-dependent QC’s. Through a four-bar function generator mechanism analysis, we demonstrate that the new robustness metrics can capture the full information of robustness of a time-dependent QC over a time interval. The new robustness metrics can then be used as objective functions for time-dependent robust design optimization.

The Research of Case Matching Algorithm in Drilling Fluid Design Expert System

2013 ◽  
Vol 321-324 ◽  
pp. 2209-2213
Author(s):  
Jian Li ◽  
You Xiao ◽  
Yue Luo
Keyword(s):  
Expert System ◽  
Nearest Neighbor ◽  
Design Method ◽  
Drilling Fluid ◽  
Case Based Reasoning ◽  
Fluid System ◽  
Matching Algorithm ◽  
Design Expert ◽  
Representation Method ◽  
Fluid Design

In the case-based reasoning in drilling fluid design expert system, it selects the corresponding representation method of attributes and matching algorithm according to the characteristics of drilling fluid system and the formulation. The representation methods of attributes in this article include digital, string and range these three methods, therefore, the corresponding matching algorithms also have nearest-neighbor, string matching and range matching these three algorithms. On this basis, and combined with the single parent genetic algorithm to optimize the initial weights combination, we can get the most optimal and realistic drilling fluid system and formula. This design method can greatly improve the efficiency and accuracy of the drilling fluid formula design.

Innovative Drilling Fluid Design and Rigorous Pre-Well Planning Enable Success in an Extreme HTHP Well

2000 ◽  
Author(s):  
D.J. Oakley ◽  
K. Morton ◽  
A. Eunson ◽  
A. Gilmour ◽  
D. Pritchard ◽  
...  
Keyword(s):  
Drilling Fluid ◽  
Fluid Design
Sign in / Sign up

Export Citation Format

Share Document