... Abstract A survey program is designed for every well drilled to meet the well objective of penetrating the target reservoir and avoiding colliding with other offset wells. The selection of the wellbore survey tools within the survey program is limited in number and accuracy by the current...

... by visual inspection of the shale shakers, is to evaluate the solids return in the shale shakers. Hole cleaning and wellbore instability issues, among other events can be detected. ( Grossi, 2020 ). upstream oil & gas machine learning neural network experiment accuracy deep learning...

... Gyroscope (CVG), a solid-state gyro, is the most modern technology applied to gyroscopic tools for drilling under the principle that a vibrating object, with a certain mass, tends to continue vibrating in the same plane that its support is rotated in space. The accuracy of the tools varies according...

... realistically corrupted gamma measurements (reflecting sampling rate, calibration error, and measurement noise). This gives a true solution for accuracy comparison, and a realistic log that can be interpreted as follows: a Bayesian state space matrix is constructed which captures the likelihood of correlation...

... of performance. However, it was observed that inconsistency and quality of rig site drill bit photos reduce model accuracy. Therefore, it is suggested that companies produce large sets of quality images for developing better models. This study successfully demonstrates the integration of computer vision...

... learning category gauge cutter cutter dataset schema artificial intelligence substrate iadc dull hyperparameter bit selection accuracy onepetro bit dull grading report generation international drilling conference algorithm information classification threshold Introduction...

... learning information sensor efficiency shaker drilling conference accuracy wellbore integrity international drilling conference shale shaker prototype spe annual technical conference assessment exhibition held field testing onepetro texas Introduction Hole cleaning is a very...

... can be used either in simulation environment or on the rig itself during operational studies. The primary results show high detection accuracy with minimal errors. Using this methodology for well control simulation, the main periods of high stress and low concentration were correctly identified...

... fluctuations for Shallow Ultra-ERD wells. It means that, in order to maintain the same levels of ECD prediction accuracy for these types of wells as to enable engineering decision making, hydraulics simulators must be much more accurate in predicting APL under these extreme conditions. Figure 2 illustrates...

... accuracy in the analysis, automated model re-training, versatility at handling large amount of data and above all-the identification of the drivers that affect positively or negatively the drilling performance. ML models also evolve with time through the continuous re-training as new data becomes...

... good match with the real-time digital twin predictions. The field tests demonstrated the feasibility and accuracy of the digital twin and established a method for aiding in future real-time decision making. State-of-the-art downhole sensors, drilling dynamics simulation packages, large amounts...

... et al., 2010 ). Also, machine-learning based approaches were used to improve the accuracy of diagnosing the pump state. Genetic algorithms with a back-propagation neural network (GA-BP) and principal component analysis (PCA) based approach were applied in a mud pump diagnosis model ( Deng et al...

... with a reservoir simulation model to better quantify the losses caused by positional uncertainty, while exploring the sensitivity of said losses in relation to the changing lateral length, well spacing and survey accuracy allowing for future optimal field development. A previous method of simulating reservoir...

... and modify itself to changes in the drilling operations. machine learning deep learning accuracy neural network classification model drilling operation stuck pipe incident classifier algorithm international association well 2 artificial intelligence international drilling conference...

... of complexity which may be hampering further progress. Some of the consequences are identified and examined and suggestions made as to how these might be managed. The developments have resulted in greater accuracy and reliability of tools and systems with associated economic advantages. Step outs have grown...

... flow-loop experiments. The experiments are performed for steady-state, laminar horizontal pipe flow at atmospheric pressure. The results illustrate the impact different measurement techniques have on the accuracy of the modelled frictional pressure loss. The potential of the pipe rheometer...

... to classify lithology. Upon completion of training and validation, the system is tested on a separate, unseen wellbore, for which results are presented. Visualizations for true lithology alongside the estimates are given, along with confusion matrices and model accuracy. The system achieves high accuracy...

... reliable QC and meet their accuracy target. There are mainly two ways of quantifying the difference between two surveys and establishing pass/fail criteria. One is the relative instrument performance (RIP) test and the other is the Chi-square test; both are described in detail in the following section...

... described has been implemented using advanced solid-state gyroscopic sensors based on a new Coriolis vibratory gyroscope (CVG). Recent studies have demonstrated how this new sensor technology has become both a viable and practical option for high accuracy wellbore placement, largely achievable since CVGs...

...-based algorithm, monitoring performance and accuracy is a time-consuming proposition. Traditionally, misclassified results have been reviewed and corrected offline, manually. This paper will present a general and sustainable machine learning solution to address this challenge. A convolutional neural...