Zobrazeno 1 - 10
of 39
pro vyhledávání: '"J. Nighswander"'
Publikováno v:
SPE Production & Facilities. 20:115-125
Summary This paper discusses experimental work associated with the evaluation of asphaltene precipitation for a field in Abu Dhabi, UAE. This reservoir is in the early stages of development and will be put on production using a combination of gas-, w
Publikováno v:
SPE Journal. 8:304-312
Summary The potential for hydrocarbon solid formation and deposition adversely affecting flow assurance in deepwater production systems is a key risk factor in assessing deepwater developments. To reduce this risk, a systematic approach to defining a
Publikováno v:
67th EAGE Conference & Exhibition.
Publikováno v:
All Days.
This paper discusses experimental work associated with the evaluation of asphaltene deposition for a field in Abu Dhabi, UAE. The subject reservoir is in the early stages of development and will be put on production using a combination of gas, water,
Publikováno v:
All Days.
The continuous pursuit to discover new hydrocarbon reserves is driving oil and gas exploration companies to explore in more challenging environments, such as in deep water. One of the major challenges in these environments is to understand the charac
Autor:
Nikhil Joshi, O.C. Mullins, Abul K.M. Jamaluddin, Jefferson L. Creek, J.D. McFadden, J. Nighswander
Publikováno v:
Canadian International Petroleum Conference.
Publikováno v:
All Days.
This paper presents the results of an assessment of condensate phase behavior issues in the near-wellbore region. Constant composition expansion (CCE) studies were conducted to measure the retrograde liquid deposit data for a real reservoir fluid. Su
Publikováno v:
All Days.
The potential for hydrocarbon solid formation and deposition adversely affecting flow assurance in deepwater production systems is a key risk factor in assessing deepwater developments. To reduce this risk, a systematic approach to defining and under
Publikováno v:
All Days.
Summary The currently available pressure/volume/temperature (PVT) simulators predict the physical properties of reservoir fluids with varying degrees of accuracy depending on the type of model used, the nature of the fluid, and the prevailing conditi