Productivity is the core of evaluation of undeveloped reserves. Productivity prediction is the significant content of oilfield plan deploying, development plan, dynamical analysis, oil and gas wells allocation and development plan regulation. As an example of tight gas reservoir in Yingtai area of Jilin Oilfield, according to internal factors in productivity prediction and the lithologic character of this region which consists of volcanic rock and clastic rock, this paper proposes two combination parameters to predict productivity. The different prediction results of these two methods are compared and analyzed. Based on the verification of two wells, “quasi-formation coefficient” has higher precision, the average relative error being 4%. It has reference meaning in the productivity prediction to other gas reservoirs with the same type and similar geologic conditions. Key words: Tight gas reservoir; Quasi-formation coefficient; Gas well; New well productivity; Prediction
Silicon carbide (SiC) MOSFET module in HybridPACK™ drive package has been employed for mainstream automotive high power inverter applications. The short-circuit fault, however, threatens the reliability of the power module to a large extent. The tunnel magnetoresistance (TMR) sensor indicates short response delay, fair accuracy and low temperature drift for the short-circuit protection. The TMR sensor detect the short-circuit current by sensing the magnetic field in the sensitive direction. For the purpose of compact application and convenient current control, the TMR sensor is integrated on the surface of the power terminal. Concrete magnetic analysis with the assistance of finite element method (FEM) calculation is conducted by which means the short-circuit fault is to be detected in advance. A prototype based on SiC MOSFET module (STARPOWER MD29HTC120P6HE, 1200V/450A) is constructed to testify the TMR-based scheme. The short-circuit detection time of the TMR sensor is within 100ns and the SiC MOSFET module is protected in a safe manner.
LCZ696, an angiotensin receptor-neprilysin inhibitor, has shown promising clinical efficacy in patients with heart failure (HF) with reduced ejection fraction. However, its potential effects on heart failure with preserved ejection fraction (HFpEF) are still not fully understood. We evaluated the effect of LCZ696 on HFpEF in transverse aortic constriction mice and compared it with the effect of the angiotensin receptor blocker, valsartan. We found that LCZ696 improved cardiac diastolic function by reducing ventricular hypertrophy and fibrosis in mice with overload-induced diastolic dysfunction. In addition, there was superior inhibition of LCZ696 than stand-alone valsartan. As a potential underlying mechanism, we demonstrated that LCZ696 behaves as a potent suppressor of calcium-mediated calcineurin-nuclear factor of activated T cells (NFAT) signalling transduction pathways. Hence, we demonstrated the protective effects of LCZ696 in overload-induced HFpEF and provided a pharmaceutical therapeutic strategy for related diseases.
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