... at various facilities. Key parameters such as flare average temperature, VIIRS detection frequency, ellipticity, and flow rate were investigated to determine their effect on data accuracy. The analysis found significant differences between the two datasets, with relative errors ranging from 7% to 30% between...

..., as well as wireline logging results, proved that the advanced automated MPD system can provide reliable, accurate, and continuous down hole pressure data (up to 99.5% - 100% accuracy). This case study highlights the successful MPD approaches with the combination of multiple tests and advanced MPD system...

...’ uncertainties and improves historical fitting accuracy by increasing ensemble numbers. The Ensemble Kalman Filter (EnKF) algorithm, proposed by Evensen, is widely used in reservoir history matching for its computational efficiency and ease of implementation ( Evensen, 2003 ). Following EnKF's sequential data...

... these candidates has decreased, leading to a decline in the quality of workover outcomes. To tackle this issue, implementing machine learning aims to maintain the massive of workover jobs while ensuring the accuracy of perforation candidate results. This study utilizes 12,247 cleansed historical workover data...

... inversion of reservoir parameters is of paramount importance for the successful production of oil and gas. The well test is an important technique for achieving accurate reservoir parameter inversion. However, the challenge of balancing inversion accuracy and speed is present in existing well-test analysis...

... the South China sea is applied, in which 38 small-sample data spaces are utilized for training and 9 samples for testing. It is found that the average errors are 3.32% and 2.58% for the CO 2 and brine RP curves, respectively. In addition, the superior accuracy of the DL-MICP method is demonstrated through...

... climate change wind condition plume simulation flight dataset vertical step intertropical convergence zone machine learning tdla methane emission monitoring technology simulation wind velocity accuracy Introduction Greenhouse gas (GHG) emissions have been the subject of anthropogenic...

... developed on ImageNet-1k, are evaluated on a dataset of 11,941 dynamometer cards. Our findings demonstrate a significant inverse correlation between model accuracy and the number of trainable parameters, notably with EfficientViT achieving the highest accuracy (95.73%) despite having fewer parameters...

... specific flow and production conditions to be met. While these methods can provide some level of prediction accuracy when the conditions are satisfied, their reliability is often questioned. To address these limitations, this paper proposes an improved approach based on the trilinear flow model...

... volumetric flowrate offshore platform accuracy Introduction Acid Gas Removal System (AGRS) at offshore platform is equipped with membranes to remove carbon dioxide (CO 2 ) from sour gas reservoirs to meet export specifications through permeate flaring. In year 2020, an Ultrasonic Flowmeter (USM...

...) for 27 fresh core samples from top to bottom of the reservoir. These samples are properly sequenced and then images are selected. Big data from imaging technology have been processed in a manner to train, and test the model accuracy. Applied Data Science Lifecycle technique, such as data mining...

... calibrate aquifer brine extraction accuracy Introduction Geological CO 2 sequestration is a critical solution to significantly reduce CO 2 emission from large stationary sources ( Bui et al., 2018 ; Metz et al., 2005 ). It has been proven to be a viable technology for long-term storage of CO 2...

... of NP 6, 12, and 48, yielding an accuracy exceeding 80% and an error of approximately 10%. The proposed multi-well productivity analysis is a trial-and-error process based on data-driven analytics, which can be used to predict shale production in any shale play. In addition, the range of the predicted...

... to imbalanced data and have the best performance on the 0 permeability score samples (>99% accuracy). The implementation of undersampling and oversampling techniques can balance the model performance and improve the performance on high permeability score samples. Among all simulations, XGBoost...

... inhibitors. The work is based upon and ties together the experimental and modelling work of others and supplemented with new model parameters where required. We further summarize the accuracy of the model and briefly touch upon how the model extrapolates beyond the limits of data used in this work...

... petrophysical evaluation and identify potential zones while being in time-constrained and limited resource situations. artificial intelligence correlation machine learning interpretation result upstream oil & gas water saturation accuracy training well prediction result workflow potential...

... outperforms on model testing and prediction accuracy. A database was constructed for a heterogeneous reservoir. Four widely used boosting algorithms were used on the database to predict the design only from the output of a short injection/falloff test. Feature importance analysis was done on eight output...

... on real-time downhole drilling data. 98% accuracy was obtained in successfully identifying torsional vibrations during drilling. A total of 101 parameters including measured and derived variables are available in the dataset. Modeling was performed with 14 features and vibrations were predicted. The RNN...

... accuracy of the model and provides basic data for sand control. The ANN model of five point mapping has the best prediction effect in predicting d50 with a highest correlation coefficient 0.819 and a lowest error MAE 9.59. The XGBoost model of five point mapping has the best prediction effect in predicting...

.... The results show that the accuracy of flow unit division by support vector machines reaches 91.1%, which clarifies the distribution law of flow units for oilfield development. This study is one of the significant keys for locating new wells and optimizing the workovers to increase recoverable reserves...