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Keywords: algorithm
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Proceedings Papers

Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE/IATMI Asia Pacific Oil & Gas Conference and Exhibition, October 10–12, 2023
Paper Number: SPE-215341-MS
... of the parameters is completed by minimizing the fitness function from the loss between proxy model and measured data with the help of optimization-based algorithm. The new method is validated against numerical simulation, covering a wide range of fluid properties and operation constraints. drillstem/well...
Proceedings Papers

Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE/IATMI Asia Pacific Oil & Gas Conference and Exhibition, October 10–12, 2023
Paper Number: SPE-215380-MS
...Machine Learning Algorithm for Predicting Maximum Hole Diameter This paper describes a machine learning algorithm that is used to predict mechanical caliper log using LWD data. Available LWD data from different wells were used to build the algorithm in Python. The algorithm is first trained...
Proceedings Papers

Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE/IATMI Asia Pacific Oil & Gas Conference and Exhibition, October 10–12, 2023
Paper Number: SPE-215400-MS
... modelling workflow permeability workflow ensemble-based reservoir geological scenario development planning algorithm australia government scenario interpretation inflation coefficient Introduction The Ichthys gas-condensate field is located approximately 220 km offshore Western Australia...
Proceedings Papers

Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE/IATMI Asia Pacific Oil & Gas Conference and Exhibition, October 10–12, 2023
Paper Number: SPE-215327-MS
... inspection of numerous Scanning Electron Microscope (SEM) images, is tedious and time-consuming. This paper introduces an automated approach using computer vision and random forest algorithms to streamline the process, providing a more efficient method for noise reduction, multi-level thresholding, machine...
Proceedings Papers

Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE/IATMI Asia Pacific Oil & Gas Conference and Exhibition, October 10–12, 2023
Paper Number: SPE-215265-MS
... conducted, and the results were stored in a database within a data lake. Multiple machine learning algorithms were evaluated to determine the most suitable algorithm for deployment. Python programming is subsequently initiated and deployed within the cloud service environment, and the results...
Proceedings Papers

Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE/IATMI Asia Pacific Oil & Gas Conference and Exhibition, October 10–12, 2023
Paper Number: SPE-215326-MS
... immensely. The benefits include minimization or reduction of costs associated with testing requirements, curtailed production, as well as the minimization of emissions. drillstem/well testing algorithm production control drillstem testing production monitoring stabilization requirement upstream...
Proceedings Papers

Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE/IATMI Asia Pacific Oil & Gas Conference and Exhibition, October 10–12, 2023
Paper Number: SPE-215409-MS
... algorithm capability. Before the pilot deployment of technology, the concept is proven using process simulation and data driven model testing. The work aims to demonstrate and implement this gas breakthrough control not only to gas coning well but also for non-gas coning that are producing with higher GOR...
Proceedings Papers

Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE/IATMI Asia Pacific Oil & Gas Conference and Exhibition, October 10–12, 2023
Paper Number: SPE-215236-MS
... waterflood management solution combines cloud technologies, big data processing, data analytics, machine learning algorithms, robotics, sensors and monitoring system, automation, edge gateways, and augmented and virtual reality (AR/VR). Design thinking principles and a human-centric approach within an agile...
Proceedings Papers

Paper presented at the SPE/IATMI Asia Pacific Oil & Gas Conference and Exhibition, October 12–14, 2021
Paper Number: SPE-205595-MS
... this problem, flow-based two-phase upscaling techniques are combined with machine learning algorithms, in which the flow-based two-phase upscaling is needed only for a small fraction of coarse interfaces (or blocks), while the upscaled two-phase parameters for the rest of the coarse interfaces (or blocks...
Proceedings Papers

Paper presented at the SPE/IATMI Asia Pacific Oil & Gas Conference and Exhibition, October 12–14, 2021
Paper Number: SPE-205610-MS
... trained anomaly detection algorithms, and more complex neural networks, distress signals can be identified and their severity classified, sending immediate, automatic signals in times of need and drastically reducing the time in which a personnel is in distress. health & medicine efficiency...
Proceedings Papers

Paper presented at the SPE/IATMI Asia Pacific Oil & Gas Conference and Exhibition, October 12–14, 2021
Paper Number: SPE-205638-MS
... drill bits to get worn out rapidly. In the data preprocessing stage, we label drilling- and well logging data based on formation tops in the drilling plan; this ensures that the models learn from the same formation. For deriving the ML algorithms, we use a gradient boosting regressor, which generates...
Proceedings Papers

Paper presented at the SPE/IATMI Asia Pacific Oil & Gas Conference and Exhibition, October 12–14, 2021
Paper Number: SPE-205687-MS
... shengli oilfield machine learning deep learning screw pump progressing cavity pump upstream oil & gas proceedings application real time feature map intelligently identify algorithm petroleum engineer convolution layer deep learning model cnn artificial intelligence recognition...
Proceedings Papers

Paper presented at the SPE/IATMI Asia Pacific Oil & Gas Conference and Exhibition, October 12–14, 2021
Paper Number: SPE-205689-MS
... or the performance are not up to peoples’ expectations. Despite the great success in other industries (internet, transportation, and finance, etc.), the "amazing" data science algorithms seem to be challenged when "landing" in petroleum engineering. It is time to calmly analyze current situations and discuss...
Proceedings Papers

Paper presented at the SPE/IATMI Asia Pacific Oil & Gas Conference and Exhibition, October 12–14, 2021
Paper Number: SPE-205782-MS
... prediction methods integrating in a single step dimensionality reduction, extraction of input data structure pattern and prediction of formation volume factor B o . The SOM neural network method applies an unsupervised training algorithm combined with back propagation neural network BPNN to subdivide...
Proceedings Papers

Paper presented at the SPE/IATMI Asia Pacific Oil & Gas Conference and Exhibition, October 12–14, 2021
Paper Number: SPE-205735-MS
... correlation simulation upstream oil & gas network model simulator reservoir pressure test score feature engineering dashboard gas injection inflow performance prediction workflow liquid pi algorithm illustration putra holdup factor Introduction Background Production...
Proceedings Papers

Paper presented at the SPE/IATMI Asia Pacific Oil & Gas Conference and Exhibition, October 12–14, 2021
Paper Number: SPE-205736-MS
... the applications of AI, ML, and data analytics in different disciplines of O&G industry. To elaborate the difference between ML and traditional programing. To shed light on key elements and types of ML algorithms. To explain steps taken to pre-process data before being fed into the model...
Proceedings Papers

Paper presented at the SPE/IATMI Asia Pacific Oil & Gas Conference and Exhibition, October 12–14, 2021
Paper Number: SPE-205772-MS
... optimization production logging sensor data security correlation neural network ir 4 drilling operation automation production enhancement deep learning platform internet of things industry 4 algorithm iot petroleum industry application disruptive technology The value of deploying...

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