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基于人工神经网络的钻井事故预测诊断方法

摘要第4-5页
abstract第5页
Chapter 1: Introduction第12-19页
    1.1 General Introduction第12-14页
    1.2 Review of Prediction Methods for Drilling Problems第14-18页
    1.3 Objectives of the Study第18-19页
Chapter 2: Analysis of Drilling Problems and its Impacting Factors第19-88页
    2.1 Analysis of Pipe Sticking and its Impacting Factors第19-25页
        2.1.1 Stuck Pipe Description第19-20页
        2.1.2 Differential Sticking第20-21页
        2.1.3 Mechanical Sticking第21-22页
        2.1.4 Practices Used in Freeing Stuck Pipe第22-24页
        2.1.5 Other Predictive and Detective Methods第24-25页
    2.2 Analysis of Drill Pipe Failure and its Impacting Factors第25-44页
        2.2.1 Drill String第25页
        2.2.2 Drill Pipe第25页
        2.2.3 Twist-off第25-26页
        2.2.4 Parting第26页
        2.2.5 Strength of materials of Drill Pipe第26-28页
        2.2.6 Tension Forces in Drill Pipes第28页
        2.2.7 Axial Yield Strength第28-29页
        2.2.8 Compression – Buckling第29-30页
        2.2.9 Internal Yield Pressure – Bursting第30-31页
        2.2.10 Collapse第31-32页
        2.2.11 Elongation and Stretch第32-33页
        2.2.12 Bending第33-35页
        2.2.13 Torsion第35-37页
        2.2.14 Fatigue第37-41页
        2.2.15 Hydraulic and Drag forces第41页
        2.2.16 Pressure第41-43页
        2.2.17 Pipe Failure Prevention第43-44页
    2.3 Analysis of Lost Circulation and its Impacting Factors第44-57页
        2.3.1 Effects第44-45页
        2.3.2 Categories of Losses第45页
        2.3.3 Additives第45页
        2.3.4 Features for Identifying Lost Circulation Zones第45-47页
        2.3.5 Types of Loss Zones第47-51页
        2.3.6 Conditions for Lost Circulation第51页
        2.3.7 Undesirable Effects of Lost Circulation第51页
        2.3.8 Preventive Measures第51-52页
        2.3.9 Corrective Measures第52-53页
        2.3.10 Well stress第53-57页
    2.4 Analysis of Kick and its Impacting Factors第57-68页
        2.4.1 Kick第58-59页
        2.4.2 Causes of Kick第59页
        2.4.3 Detection and Prevention of Kick第59-61页
        2.4.4 Well Shut-in Procedures第61页
        2.4.5 Well Killing Methods and Kill Sheet第61-63页
        2.4.6 U-Tube Model and Well Control Complications第63-65页
        2.4.7 Pressure System in Well Control第65-67页
        2.4.8 Gas System in Well Control第67-68页
    2.5 Analysis of Wellbore Stability and its Impacting Factors第68-88页
        2.5.1 Parameters affects borehole stability第70-72页
        2.5.2 Motivation for studying wellbore stability analysis第72-73页
        2.5.3 Basic theory of stress第73-77页
        2.5.4 Vertical borehole failure analysis第77-83页
        2.5.5 Principal stresses at borehole collapse and fracturing第83-85页
        2.5.6 Mohr-Coulomb borehole failure criterion第85-88页
Chapter 3: Prediction Method based on Artificial Neural Networks第88-100页
    3.1 Virtual Intelligence第88页
    3.2 History of Artificial Neural Network第88-89页
    3.3 ANN Description第89-93页
    3.4 Activation functions第93-95页
    3.5 Learning Rules第95页
    3.6 Neural Network Types第95-98页
        3.6.1 The Multiple Layer Perceptron第96页
        3.6.2 Backpropagation Algorithm第96-97页
        3.6.3 Conjugate Gradient Algorithms第97-98页
        3.6.4 Scaled Conjugate Gradient (trainscg)第98页
    3.7 Overlearning and Generalization第98-99页
    3.8 Design of Network and the Procedure第99-100页
Chapter 4: Application of Prediction Method for Drilling Problems & SoftwareDevelopment第100-120页
    4.1 Artificial Neural Network第100页
    4.2 Data preparation第100-105页
        4.2.1 Parameters for Stuck Pipe第101-102页
        4.2.2 Parameters for Wellbore stability第102-104页
        4.2.3 Parameters for Loss of Circulation第104-105页
    4.3 ANN training第105-106页
    4.4 Methods and materials第106-107页
    4.5 MSE Analysis for the Input ranking第107-108页
    4.6 Improving the Training第108页
    4.7 Results & Discussion on the Outcomes of the Model第108-116页
        4.7.1 Results of Stuck Pipe第108-112页
        4.7.2 Results of Wellbore Stability第112-116页
        4.7.3 Results of Loss of Circulation第116页
    4.8 Software Development第116-120页
        4.8.1 Code Blocks Language Software第116-117页
        4.8.2 Data Input第117-118页
        4.8.3 Output Screen第118-120页
Conclusion第120-121页
References第121-124页
Acknowledgements第124页

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