Log Data Acquisition and Quality ControlÉditions Technip, 1991 - 330 lappuses |
No grāmatas satura
1.–3. rezultāts no 47.
21. lappuse
... characteristic The objective of the experimentalist is to quantify the characteristics of a phe- nomenon . In the geosciences , these parameters could be formation density , dielectric constant and sound velocity . The system under ...
... characteristic The objective of the experimentalist is to quantify the characteristics of a phe- nomenon . In the geosciences , these parameters could be formation density , dielectric constant and sound velocity . The system under ...
87. lappuse
... characteristics . Tool response could be the functional relationship between gamma ray detector count rates and formation electronic density . Anything affecting the raw measurement so that it is no longer possible to have a direct ...
... characteristics . Tool response could be the functional relationship between gamma ray detector count rates and formation electronic density . Anything affecting the raw measurement so that it is no longer possible to have a direct ...
153. lappuse
... Characteristics of these standards are as close as possible to the true formation characteristics . The objects involved are bulky and cannot be moved . They are located in special premises , typically in an engineering center . ( b ) ...
... Characteristics of these standards are as close as possible to the true formation characteristics . The objects involved are bulky and cannot be moved . They are located in special premises , typically in an engineering center . ( b ) ...
Saturs
COMPLETENESS OF INFORMATION | 17 |
REPEATABILITY | 21 |
COMPARISON WITH DATA FROM OTHER ORIGINS | 23 |
Autortiesības | |
18 citas sadaļas nav parādītas.
Citi izdevumi - Skatīt visu
Bieži izmantoti vārdi un frāzes
algorithm annual logging symposium assumed barite borehole cable calibration caliper characteristics computed core corresponds counting rates Courtesy of Schlumberger Courtesy of SPWLA curves data frames density logs density tool depth matching depth of investigation derived detection detector diameter downhole drilling effect environment environmental corrections example filtering filtrate formation evaluation ft/h function g/cm³ geometrical factor Halliburton Logging Services hole induction tool input invasion laterolog Log quality control logging company logging data logging speed logging tool logging while drilling long-spacing Mathematical modeling measurement mmho/m mudcake natural gamma ray nuclear tools oil-base mud parameters performed petrophysical photoelectric effect POROSITY p.u. pressure pseudo-geometric factor random error readings repeat reservoir sampling rate saturation Section sensors short-spacing signal sonde error sonic standard deviation standoff surface systematic error Table tape temperature thermal neutron thermal neutron porosity tool response Trans uncertainty vertical resolution volume wellsite zone
Atsauces uz šo grāmatu
Statistical Regression Line-Fitting in the Oil and Gas Industry Richard Woodhouse Priekšskatījums nav pieejams - 2003 |