Improved Efficiency of Oil Well Drilling through Case Based Reasoning

نویسندگان

  • Pål Skalle
  • Jostein Sveen
  • Agnar Aamodt
چکیده

A system that applies a method of knowledge-intensive case-based reasoning, for repair and prevention of unwanted events in the domain of offshore oil well drilling, has been developed in cooperation with an oil company. From several reoccurring problems during oil well drilling the problem of ”lost circulation”, i.e. loss of circulating drilling fluid into the geological formation, was picked out as a pilot problem. An extensive general knowledge model was developed for the domain of oil well drilling. About fifty different cases were created on the basis of information from one North Sea operator. When the completed CBR-system was tested against a new case, five cases with descending similarity were selected by the tool. In an informal evaluation, the two best fitting cases proved to give the operator valuable advise on how to go about solving the new case.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

A Semi-automatic Method for Case Acquisition in Cbr a Study in Oil Well Drilling

Oil well drilling operation is a complex process, in which there are always new lessons learned during drilling operation. Casebased reasoning (CBR) is an approach to problem solving that recalls previous experiences. Whenever the process is running smoothly, or is failing, the experiences gained during such episodes are valuable and should be stored for later re-use. This paper presents a meth...

متن کامل

A Semi-automatic Method for Case Acquisition in Cbr a Study in Oil Well Drilling

Oil well drilling operation is a complex process, in which there are always new lessons learned during drilling operation. Case-based reasoning (CBR) is an approach to problem solving that recalls previous experiences. Whenever the process is running smoothly, or is failing, the experiences gained during such episodes are valuable and should be stored for later re-use. This paper presents a met...

متن کامل

Enhancing the Situation Awareness of Decision Makers by Applying Case-Based Reasoning on Streaming Data

Data is generally expected to continue its exponential growth the next five to ten years. However, it is commonly agreed that the amount of data that currently exist is abundant and that there is still much to achieve with it. The industry, in general, has recognized both the growth and the need to analyze the data. This is also the case with oil well drilling operations. Currently, operators m...

متن کامل

Comparing two types of knowledge-intensive CBR for optimized oil well drilling

This paper describes a new architecture for reasoning that combines case-based and model-based reasoning, referred to as knowledge intensive CBR (KiCBR). The case retrieval process is explained and compared through different reasoning approaches; plain CBR, and two forms of knowledgeintensive CBR. The mentioned methods are applied to problems in oil well drilling, a challenging domain. Knowledg...

متن کامل

Transfer of experience for improved oil well drilling

The drilling process is getting increasingly more complex as oil fields mature and technology evolves. At the same time, the amount of information is increasing in volume and fr equency. Although technology is advancing, failures do occur, leading to loss of valuable time. When ever the process is running smoothly or is failing , valuable experience is gained . However, experience attrition is ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2000