Production optimization is of significance for carbonate reservoirs, directly affecting the
sustainability and profitability of reservoir development. Traditional physics-based numerical …

Under the guidance of the “Dual Carbon” goal, integrated energy supply stations have
gradually become an essential facility for the energy transition. Promoting user repurchase …

Abstract In this work, Back Propagation (BP) neural network, Long Short-Term Memory
(LSTM) network and Random Forest algorithm are applied to establish an intelligent data …

Large vertical pipes are key structures connecting subsea wells to offshore platforms.
However, existing studies mainly focus on small vertical pipes. In a vertical acrylic pipe with …

A damage identification method for Thermoplastic Composite Pipes (TCPs) is proposed,
which consists of two parts: firstly, a response signal preprocessing method based on …

Large sections of gas accumulation easily form in continuously undulating liquid pipelines to
impede the commissioning process affecting the safe operation of the pipeline. To solve the …

During the service life of flange assembly components, factors such as corrosion and
vibration can lead to washer damage and loosening of fastening bolts, resulting in fluid …

Accelerating the prediction time of separation performance and flow field characteristics in
industrial hydrocyclones holds paramount importance for real-time control. Machine learning …

The risk of wireline sticking cannot be accurately predicted at wireline logging site. Once the
wireline is sticked on the wellbore, it seriously affects the logging process. A data-driven risk …

Since chemical processes are highly non-linear and multiscale, it is vital to deeply mine the
multiscale coupling relationships embedded in the massive process data for the prediction …