Journal of China University of Petroleum (Edition of Natural Science)

Optimization of Performance Characteristics of Hybrid Polymeric Composite Materials Prepared by Friction Stir Process Technique Joint with Grey Relational Analysis

In this work, determine optimum process parameters regarding the various performance characteristics of Friction Stir Processing (FSP) for prepared polymeric hybrid composite materials, which including mechanical and physical properties to evaluate the operation success. Through this work the effect of adding different ratios of (Graphite, Al2O3 and Cu) as reinforcement particles to the binary polymeric blend (85%HDPE:15%PP) was study. The results of mechanical and physical tests indicate there is a significant improvement in the (flexural strength, flexural modulus, maximum shear strength, ha

Heat production law and temperature control method of milling tools for workover under action of thermo-mechanical coupling

The refined control of heating substations is of great significance for on-demand heating provision and for the efficient operation of district heating systems (DHSs). This paper proposes an integrated control strategy for substations based on the prediction of the water-supply temperature and indoor temperature. Firstly, online sequential extreme learning machine (OS-ELM) is used to predict the water-supply temperature. Then, a linear prediction model is established to predict the indoor temperature. Finally, the integrated regulation strategy is established with the goal of minimizing ope

Experimental validation of properties on new fluidized-bed catalyst cooler

The efficiency of a fluidized bed reactor depends on the bed fluid dynamic behavior, which is significantly influenced by the bubble properties. This work investigates the bubble properties of a bubbling fluidized bed reactor using computational particle fluid dynamic (CPFD) simulations and electrical capacitance tomography (ECT) measurements. The two-dimensional images (along the reactor horizontal and vertical planes) of the fluidized bed are obtained from the CPFD simulations at different operating conditions. The CPFD model was developed in a commercial CPFD software Barracuda Virtual R

A modeling paradigm for unconventional reservoir parameters based on an interpretable neural network

In the past few decades, the machine learning (or data-driven) approach has been broadly adopted as an alternative to scientific discovery, resulting in many opportunities and challenges. In the oil and gas sector, subsurface reservoirs are heterogeneous porous media involving a large number of complex phenomena, making their characterization and dynamic prediction a real challenge. This study provides a comprehensive overview of recent research that has employed machine learning in three key areas: reservoir characterization, production forecasting, and well test interpretation. The result

Application of multi-information fusion modeling of fracture-vuggy reservoir in Ordovician reservoir of 12th block in Tahe Oilfield

Ultra-deep (7500–9000 m) Ordovician tight limestone heterogeneous fractured-vuggy reservoir is an important target of FuMan Oilfield in Tarim Basin. The strike-slip fault controlled reservoir is related to formation fracture and dissolution caused by geological stress. The seismic wave-field anomaly characteristics with different energy and irregular waveform are displayed in the seismic profile. Accurate identification of fractured-vuggy reservoirs wrapped in tight limestone is the direct scheme to improve production efficiency. Therefore, a new combination method flow of seismic wav

Journal of China University of Petroleum (Edition of Natural Science)