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R&D Progress in 2010
R&D Progress in 2009
R&D Progress in 2008
 
Breakthroughs in technical R&D of integrated imaging logging, digital core, processing and interpretation

CNPC has established a logging network featuring quick imaging logging, rapid and accurate interpretation, and timely effective management using satellite, Internet, ERP, and other information technologies, as a result of intensified research into well logging data acquisition, petrophysical, processing and interpretation technologies. The logging network has now successfully passed a test at Changqing Oilfield, realizing a breakthrough in integrating imaging logging, digital coring, processing and interpretation.

New packages of logging instruments and facilities considerably improve logging speed and imaging quality: an integrated, combined logging system can acquire all the logging data required for formation evaluation in a single downhole pass, which is 30% more efficient; the important progress achieved in the R&D of imaging logging instruments is reflected by 430Kbit/sec cable-based, high-speed remote transmission technology, as well as the pilot production of array induction, array sonic wave, micro-resistivity scanning imaging, and ultrasonic imaging instruments. The array induction imager has logged more than 180 wells in Changqing and other oilfields, showing favorable results in identifing low porosity, low permeability and low resistivity reservoirs.

Digital core technology allows for quick and accurate interpretation: A digital method to quickly reproduce the physical properties of rocks dramatically reduced the time needed to completely describe cores, resulting from the repeated experimental study of more than 300 cores in the Changqing, Tuha, and Qinghai oilfields. LEAD2.0 software enables all-in-one application of conventional and imaging logging of open holes, and the production and engineering logging of cased holes, and has been used more than 12,000 well-times for processing and interpretation. A preliminarily built logging interpretation knowledge data base allows for the querying of data from adjacent wells, picking up to read interpretation model parameters, interpretation standards and graphic templates, submitting interpretation results, and obtaining support from remote experts during the interpretation process.

 
 
 
 
 
 
 
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