Fuzzy expert system for solving lost circulation problem

Sheremetov, Leonid; Batyrshin, Ildar; Filatov, Denis M.; Sastre, Jorge; Rodríguez, Héctor

doi:10.1016/j.asoc.2006.11.003

Cited by 46 publications

(24 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Once all drilling object instances are created the program supports chaining rules step through the inference engine [6]. This step, in three phases, the automatic creation of elementary reducing drilling, automatic creation of elementary reducing transmission to finally lead to the creation of the entire drive train housing.…”

Section: Chaining Rules and Creation Of Elementary Gearmentioning

confidence: 99%

Method for Selecting the Optimal Solution for the Design of the Gear Train

Ayoub¹,

Mehdi²

2016

JMEA

View full text Add to dashboard Cite

Some researchers in mechanical engineering have developed systems for the design of gear transmission boxes, but almost no calculation methods exist for widespread synthesis. In this article, we outline methods for automatic determination of toothed helical gear trains and the selection criteria for the optimal choice of gear trains. In this work two methods were applied. As first design to use an expert system for the design and then optimize the design that is why we used Kappa PC and Catia for CAD.

show abstract

Section: Chaining Rules and Creation Of Elementary Gearmentioning

confidence: 99%

Method for Selecting the Optimal Solution for the Design of the Gear Train

Ayoub¹,

Mehdi²

2016

JMEA

View full text Add to dashboard Cite

show abstract

“…CAPNET ESS can be used by the CAPNET agents as an internal (as in the "component agent") or external component. It implements conjunctive, disjunctive and additive algebras of strict monotonic operations on finite ordinal scales represented as multi-sets over the CAPNET KRF (Sheremetov et al, 2005). This representation gives the possibility to take into account the change of plausibility of premises in the rules and to differentiate and refine the uncertainties of conclusions.…”

Section: Domain Modelmentioning

confidence: 99%

“…In (Sheremetov et al, 2005), a first desktop version of the HIS for LCP diagnostics was described. During the field-testing phase with the PEMEX Company, the following requirements were identified:…”

Section: Application Requirementsmentioning

confidence: 99%

Industrial Application Integration Using Agent-Enabled Sematic SOA: Capnet Case Study

Sheremetov¹,

Contreras²

2006

Information Technology for Balanced Manufacturing Systems

Self Cite

View full text Add to dashboard Cite

“…A loss of circulation occurs when the bottom hole pressure in the wellbore is higher than the formation pressure, allowing (or forcing) the drilling fluid to flow into the formation. Several researchers have focused on the effects of lost circulation (Shen, 2015;Yan et al, 2015), and proposed measures to reduce such effects (Alexander, 1989;Sheremetov et al, 2008). Lost circulation is usually accompanied by wellbore stability problems, damage of reservoir near well bottom, and stuck pipe, and these are the main reasons why kick and even blowout can occur as a consequence.…”

Section: Introductionmentioning

confidence: 99%

A DBN-based risk assessment model for prediction and diagnosis of offshore drilling incidents

Zhang

Zheng

et al. 2016

Journal of Natural Gas Science and Engineering

View full text Add to dashboard Cite

Abstract:Drilling operations of offshore oil and gas fields are characterized by high reliance on advanced technology, high risk, and high costs due to operating in harsh ocean environments, under complicated geological factors, and extreme operating condition. Lost circulation or well "kick" are examples of hazardous events that may occur while drilling wells and such events may develop into a blowout accident if not handled. Identification and analysis of root causes and consequences are effective measures to prevent serious accidents from happening. The risk of having a blowout may change with time, depending on the stage of the drilling operation, and such kind of dynamics should be captured in risk assessment. This paper presents an approach for determining the conditional probabilities of hazardous events and their consequences. The approach includes models that take into account the influence of degradation and (if used in operation) new real-time information which represents the change in a state of a model parameter (such as state change of mud density) that can be captured while the drilling operation is ongoing.The approach presents a newly-developed model based on the basic theory of Dynamic Bayesian network (DBN) and this proposed model can incorporate some additional nodes to handle the uncertainty issues involving the model uncertainty and relevant parameters' uncertainty and also consider the effect of degradation, which are missed in other papers when using the DBN method for risk assessment of similar systems and operations. The main objective of this newly-developed model is to demonstrate how dynamic risk assessments can be used for incident prediction evolution as well as root cause reasoning during offshore drilling operation, given that a specific event has occurred. A bowtie model is established firstly to link the potential incident scenarios with pressure regimes and formation load capacity, and then the model is translated into a DBN. DBN inference is adapted to perform predictive and diagnostic analysis in different time slices for risk assessment and root cause reasoning. A sensitivity analysis is carried out to find the relative importance of each root cause in generating the potential drilling incidents. A case study with focusing on lost circulation during three drilling scenarios is used to illustrate and verify the feasibility of the proposed approach.Key words: Dynamic Bayesian network (DBN); drilling incidents; dynamic risk assessment; prediction of incident evolution; root cause reasoning Highlights: Potential incident scenarios with pressure regimes and weak formation are presented.  A newly-developed model based on Dynamic Bayesian Network is proposed for offshore drilling incidents.  Effects of model and parameter uncertainty are taken into account.  Prediction of risk evolution and root cause reasoning are performed based on the influence of degradation and occurred events.

show abstract

Fuzzy expert system for solving lost circulation problem

Cited by 46 publications

References 13 publications

Method for Selecting the Optimal Solution for the Design of the Gear Train

Method for Selecting the Optimal Solution for the Design of the Gear Train

Industrial Application Integration Using Agent-Enabled Sematic SOA: Capnet Case Study

A DBN-based risk assessment model for prediction and diagnosis of offshore drilling incidents

Contact Info

Product

Resources

About