Methods of decline curve analysis for shale gas reservoirs

L Tan, L Zuo, B Wang - Energies, 2018 - mdpi.com
With help from horizontal wells and hydraulic fracturing, shale gas has made a significant
contribution to the energy supply. However, due to complex fracture networks and …

Incorporation of physics into machine learning for production prediction from unconventional reservoirs: A brief review of the gray-box approach

HH Liu, J Zhang, F Liang, C Temizel… - … Reservoir Evaluation & …, 2021 - onepetro.org
Prediction of well production from unconventional reservoirs is often a complex problem with
an incomplete understanding of physics and a considerable amount of data. The most …

Magnetoresistive sensor development roadmap (non-recording applications)

C Zheng, K Zhu, SC De Freitas… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
Magnetoresistive (MR) sensors have been identified as promising candidates for the
development of high-performance magnetometers due to their high sensitivity, low cost, low …

Prediction of shale-gas production at Duvernay formation using deep-learning algorithm

K Lee, J Lim, D Yoon, H Jung - SPE Journal, 2019 - onepetro.org
Decline–curve analysis (DCA) is an easy and fast empirical regression method for predicting
future well production. However, applying DCA to shale–gas wells is limited by long …

Attention-based LSTM network-assisted time series forecasting models for petroleum production

I Kumar, BK Tripathi, A Singh - Engineering Applications of Artificial …, 2023 - Elsevier
Petroleum production forecasting is the process of predicting fluid production from the wells
using historical data. In contrast to the traditional methods of analysing surface and …

[HTML][HTML] Shale gas production evaluation framework based on data-driven models

YW He, ZY He, Y Tang, YJ Xu, JC Long… - Petroleum Science, 2023 - Elsevier
Increasing the production and utilization of shale gas is of great significance for building a
clean and low-carbon energy system. Sharp decline of gas production has been widely …

Estimated ultimate recovery prediction of fractured horizontal wells in tight oil reservoirs based on deep neural networks

S Luo, C Ding, H Cheng, B Zhang… - Advances in Geo …, 2022 - yandy-ager.com
Accurate estimated ultimate recovery prediction of fractured horizontal wells in tight
reservoirs is crucial to economic evaluation and oil field development plan formulation …

Production decline curves of tight oil wells in eagle ford shale

H Wachtmeister, L Lund, K Aleklett, M Höök - Natural Resources Research, 2017 - Springer
This study derives typical production curves of tight oil wells based on monthly production
data from multiple horizontal Eagle Ford shale oil wells. Well properties initial production (IP) …

玛湖致密砾岩油藏水平井生产动态分析及产能预测——以玛131 小井距立体开发平台为例

曹炜, 鲜成钢, 吴宝成, 于会永, 陈昂, 申颍浩 - 新疆石油地质, 2022 - zgxjpg.com
为厘清玛131 小井距立体开发平台的产能水平和生产动态特征, 进行了生产特征,
不稳定产量及产能预测, 构建了动态分析及产能预测工作流程, 确定了等效地层渗透率 …

What factors control shale-gas production and production-decline trend in fractured systems: a comprehensive analysis and investigation

HY Wang - Spe Journal, 2017 - onepetro.org
One of the most-significant practical problems with the optimization of shale-gas-stimulation
design is estimating post-fracture production rate, production decline, and ultimate recovery …