... to build models to recognize the ball seat event. In this paper, we train the Convolutional Neural Network (CNN) to solve the same problem. Comparing with U-Net approach, the CNN model requires less computation resource during training phase while it has slight better performance. hydraulic...

... influential parameters that impact deliverability of wells. Results from single point statistical analysis were further extended to unsupervised discrete classification using neural-network to bin the reservoir. Binning classification was then used to design and optimize hydraulic fracture parameters...

... Abstract This paper presents the use of machine learning via a multiple linear regression and a neural network to solve the complex problem of optimizing completions and well designs in the Duvernay shale. Solutions were revealed that could save over a million dollars per well, along...

... the most influential factors influencing the water uptake during shut-in periods after hydraulic fracturing operations. Artificial Intelligence neural network residual saturation imbibition saturation spontaneous imbibition fracture machine learning flow in porous media shale gas Upstream...

... that includes developing a data-based technology for the training of neural networks that can be used as a smart model in real time to identify the start of liquid loading in unconventional gas wells. This innovative technique incorporates a unique fuzzy pattern recognition algorithm and unsupervised analysis...

... neural networks (ANNs) and correlated with seismic to provide lateral distribution of such properties farther from the wellbore. Moreover, due to the heavy reliance of unconventional shale plays on fracture network for improved flow conditions, fracture models were developed based on the mineral...

... analysis of the model in a relatively short period of time, allowing the reservoir engineer to scrutinize different realizations and propose development strategies. complex reservoir modeling machine learning neural network shale surrogate reservoir model spe 162699 calibration shale gas...

... rate data mining hydrocarbon production sensitivity analysis shale play marcellus shale entire field machine learning neural network type curve gas production history economic analysis history matching society of petroleum engineers duman 2012 Introduction Shale gas has attracted...