Well Control aspects of Underbalanced Drilling Operations

2006 ◽  
Author(s):  
John Ramalho ◽  
Ian Alexander Davidson
Keyword(s):  
Well Control ◽  
Underbalanced Drilling ◽  
Drilling Operations

Impact of Data Quality on Well Operations: Case Study of Work-over Operations

2016 ◽  
Author(s):  
Alfred Enyekwe ◽  
Osahon Urubusi ◽  
Raufu Yekini ◽  
Iorkam Azoom ◽  
Oloruntoba Isehunwa
Keyword(s):  
Data Quality ◽  
Data Management ◽  
Real Time ◽  
Data Management System ◽  
Quality Data ◽  
Process Safety ◽  
Well Control ◽  
Drilling Operations ◽  
Short Time

ABSTRACT Significant emphasis on data quality is placed on real-time drilling data for the optimization of drilling operations and on logging data for quality lithological and petrophysical description of a field. This is evidenced by huge sums spent on real time MWD/LWD tools, broadband services, wireline logging tools, etc. However, a lot more needs to be done to harness quality data for future workover and or abandonment operations where data being relied on is data that must have been entered decades ago and costs and time spent are critically linked to already known and certified information. In some cases, data relied on has been migrated across different data management platforms, during which relevant data might have been lost, mis-interpreted or mis-placed. Another common cause of wrong data is improperly documented well intervention operations which have been done in such a short time, that there is no pressure to document the operation properly. This leads to confusion over simple issues such as what depth a plug was set, or what junk was left in hole. The relative lack of emphasis on this type of data quality has led to high costs of workover and abandonment operations. In some cases, well control incidents and process safety incidents have arisen. This paper looks at over 20 workover operations carried out in a span of 10 years. An analysis is done on the wells’ original timeline of operation. The data management system is generally analyzed and a categorization of issues experienced during the workover operations is outlined. Bottlenecks in data management are defined and solutions currently being implemented to manage these problems are listed as recommended good practices.

Mathematical modeling of formation damage effect during underbalanced drilling operations

2019 ◽  
Vol 5 (4) ◽  
pp. 1651-1661 ◽  
Author(s):  
Erfan Aghashahi Ardestani ◽  
Afshin Davarpanah ◽  
Ghasem Zargar ◽  
Behnam Mirshekari
Keyword(s):  
Mathematical Modeling ◽  
Damage Effect ◽  
Formation Damage ◽  
Underbalanced Drilling ◽  
Drilling Operations

Well Control Simulation With Nonaqueous Drilling Fluids

2020 ◽  
Vol 143 (3) ◽  
Author(s):  
Felipe Chagas ◽  
Paulo R. Ribeiro ◽  
Otto L. A. Santos
Keyword(s):  
Drilling Fluid ◽  
Petroleum Industry ◽  
Critical Issue ◽  
Drilling Fluids ◽  
Operational Parameters ◽  
Data Set ◽  
Well Control ◽  
Operational Conditions ◽  
Control Research ◽  
Drilling Operations

Abstract The demand for energy has increased recently worldwide, requiring new oilfield discoveries to supply this need. Following this demand increase, challenges grow in all areas of the petroleum industry especially those related to drilling operations. Due to hard operational conditions found when drilling complex scenarios such as high-pressure/high-temperature (HPHT) zones, deep and ultradeep water, and other challenges, the use nonaqueous drilling fluids became a must. The reason for that is because this kind of drilling fluid is capable to tolerate these extreme drilling conditions found in those scenarios. However, it can experience changes in its properties as a result of pressure and temperature variations, requiring special attention during some drilling operations, such as the well control. The well control is a critical issue since it involves safety, social, economic, and environmental aspects. Well control simulators are a valuable tool to support well control operations and preserve the well integrity, verifying operational parameters and to assist drilling engineers in the decision-making process during well control operations and kick situations. They are also important computational tools for rig personnel training. This study presents well control research and development contributions, as well as the results of a computational well control simulator that applies the Driller's method and allows the understanding the thermodynamic behavior of synthetic drilling fluids, such as n-paraffin and ester base fluids. The simulator employed mathematical correlations for the drilling fluids pressure–volume–temperature (PVT) properties obtained from the experimental data. The simulator results were compared to a test well data set as well to the published results from other kick simulators.

Development of a Neural Fuzzy System for Advanced Prediction of Bottomhole Circulating Pressure in Underbalanced Drilling Operations

2011 ◽  
Vol 29 (21) ◽  
pp. 2282-2292 ◽  
Author(s):  
A. Feili Monfared ◽  
M. Ranjbar ◽  
H. Nezamabadi-Poor ◽  
M. Schaffie ◽  
R. Ashena
Keyword(s):  
Fuzzy System ◽  
Underbalanced Drilling ◽  
Drilling Operations ◽  
Neural Fuzzy
Sign in / Sign up

Export Citation Format

Share Document