Integrated Predrill and Real–Time Pore Pressure prediction for Exploration Well Drilling in Xihu Depression, East China Sea

2020 ◽  
Author(s):  
Fawei Lu ◽  
Feng Gui ◽  
Meng Wang ◽  
Sanjeev Bordoloi ◽  
Michael Reese
Keyword(s):  
Real Time ◽  
Pore Pressure ◽  
East China Sea ◽  
East China ◽  
Well Drilling ◽  
China Sea ◽  
Pore Pressure Prediction ◽  
Exploration Well

scholarly journals A Sensor Web Prototype for Cabled Seafloor Observatories in the East China Sea

2019 ◽  
Vol 7 (11) ◽  
pp. 414 ◽  
Author(s):  
Yang Yu ◽  
Huiping Xu ◽  
Changwei Xu
Keyword(s):  
Real Time ◽  
East China Sea ◽  
Data Transmission ◽  
East China ◽  
The East China Sea ◽  
Plug And Play ◽  
China Sea ◽  
Sensor Web ◽  
Sensor Control ◽  
Seafloor Observatory

Seafloor observatories enable continuous power supply and real-time bidirectional data transmission, which marks a new way for marine environment monitoring. As in situ observation produces massive data in a constant way, the research involved with data acquisition, data transmission, data analysis, and user-oriented data application is vital to the close-loop operations of seafloor observatories. In this paper, we design and implement a sensor web prototype (ESOSW) to resolve seafloor observatory information processing in a plug-and-play way. A sensor web architecture is first introduced, which is information-oriented and structured into four layers enabling bidirectional information flow of observation data and control commands. Based on the layered architecture, the GOE Control Method and the Hot Swapping Interpretation Method are proposed as the plug-and-play mechanism for sensor control and data processing of seafloor observatory networks. ESOSW was thus implemented with the remote-control system, the data management system, and the real-time monitoring system, supporting managed sensor control and on-demand measurement. ESOSW was tested for plug-and-play enablement through a series of trials and was put into service for the East China Sea Seafloor Observation System. The experiment shows that the sensor web prototype design and implementation are feasible and could be a general reference to related seafloor observatory networks.

scholarly journals Estimation of Hourly Sea Surface Salinity in the East China Sea Using Geostationary Ocean Color Imager Measurements

2020 ◽  
Vol 12 (5) ◽  
pp. 755
Author(s):  
Dae-Won Kim ◽  
Young-Je Park ◽  
Jin-Yong Jeong ◽  
Young-Heon Jo
Keyword(s):  
Real Time ◽  
East China Sea ◽  
Ocean Color ◽  
Sea Surface ◽  
Sea Surface Salinity ◽  
East China ◽  
The East China Sea ◽  
Surface Salinity ◽  
China Sea ◽  
Mean Square Errors

Sea surface salinity (SSS) is an important tracer for monitoring the Changjiang Diluted Water (CDW) extension into Korean coastal regions; however, observing the SSS distribution in near real time is a difficult task. In this study, SSS detection algorithm was developed based on the ocean color measurements by Geostationary Ocean Color Imager (GOCI) in high spatial and temporal resolution using multilayer perceptron neural network (MPNN). Among the various combinations of input parameters, combinations with three to six bands of GOCI remote sensing reflectance (Rrs), sea surface temperature (SST), longitude, and latitude were most appropriate for estimating the SSS. According to model validations with the Soil Moisture Active Passive (SMAP) and Ieodo Ocean Research Station (I-ORS) SSS measurements, the coefficient of determination (R2) were 0.81 and 0.92 and the root mean square errors (RMSEs) were 1.30 psu and 0.30 psu, respectively. In addition, a sensitivity analysis revealed the importance of SST and the red-wavelength spectral signal for estimating the SSS. Finally, hourly estimated SSS images were used to illustrate the hourly CDW distribution. With the model developed in this study, the near real-time SSS distribution in the East China Sea (ECS) can be monitored using GOCI and SST data.

The East China Sea Seafloor Observatory and its upgraded project

2011 ◽  
Author(s):  
Huiping Xu ◽  
Changwei Xu ◽  
Rufu Qin ◽  
Yang Yu ◽  
Shangqin Luo ◽  
...  
Keyword(s):  
East China Sea ◽  
East China ◽  
The East China Sea ◽  
China Sea ◽  
Seafloor Observatory

Diet composition and feeding ecology of Nibea albiflora in Xiangshan Bay, east China Sea

2013 ◽  
Vol 20 (6) ◽  
pp. 1284-1292
Author(s):  
Nan LIN ◽  
Yazhou JIANG ◽  
Xingwei YUAN ◽  
Jing GUO ◽  
Jianzhong LING ◽  
...  
Keyword(s):  
East China Sea ◽  
Feeding Ecology ◽  
Diet Composition ◽  
East China ◽  
China Sea ◽  
Xiangshan Bay ◽  
Nibea Albiflora
Sign in / Sign up

Export Citation Format

Share Document