Reservoir Architecture Characterization From Integration of Fluid Property Distributions With Other Logs

2009 ◽  
Author(s):  
Chengli Dong ◽  
Wei-Chun Chun ◽  
Frederik Majkut ◽  
Oliver C. Mullins ◽  
Julian Youxiang Zuo
Keyword(s):  
Fluid Property ◽  
Reservoir Architecture

FLUID PROPERTY VARIATION ANALYSIS IN A HEAT EXCHANGER USING SUPERCRITICAL FLUIDS

2020 ◽  
Author(s):  
K H Jyothiprakash ◽  
Agniv Saha ◽  
Arihant Kumar Patawari ◽  
K. N. Seetharamu
Keyword(s):  
Heat Exchanger ◽  
Supercritical Fluids ◽  
Variation Analysis ◽  
Property Variation ◽  
Fluid Property

Design calculation model of oil fluid property parameter knowledge database for production logging

2020 ◽  
Vol 20 (3) ◽  
pp. 951-958
Author(s):  
Wenguang Song ◽  
Qiongqin Jiang
Keyword(s):  
Crude Oil ◽  
Expert Knowledge ◽  
Calculation Model ◽  
Physical Parameters ◽  
Base System ◽  
Design Calculation ◽  
Calculation Methods ◽  
Fluid Property ◽  
Knowledge Base System ◽  
Parameter Values

The fluid property parameter calculation affects the accuracy of the interpretation the accuracy, in the interpretation of the liquid production profile. Therefore, it is particularly important to accurately calculate the physical property parameter values, in the establishment of the fluid property parameter expert knowledge base system. The main physical parameters include the following calculation methods of the oil. The oil property parameter conversion formula mainly studies the formulas such as bubble point pressure, dissolved gas-oil ratio, crude oil volume coefficient, crude oil density, crude oil viscosity, and crude oil compression coefficient. Design expert knowledge base system, it is based on the calculation methods of these physical parameters. A computational fluid property parameter model is constructed by training production log sample data. Finally, the interactive and friendly product interpretation software model was developed in 9 wells’ data. The design calculation model can increase the accuracy to achieve 95% of oil fluid property parameter. Accurately calculate fluid property parameter values.

scholarly journals Melt movement through the Icelandic crust

2019 ◽  
Vol 377 (2139) ◽  
pp. 20180010 ◽  
Author(s):  
Robert S. White ◽  
Marie Edmonds ◽  
John Maclennan ◽  
Tim Greenfield ◽  
Thorbjorg Agustsdottir
Keyword(s):  
Carbon Dioxide ◽  
Time Scales ◽  
Upper Mantle ◽  
High Strain ◽  
Strain Rates ◽  
Complementary Information ◽  
Reservoir Architecture ◽  
Rift Zones ◽  
Shallow Crust ◽  
Basaltic Melts

We use both seismology and geobarometry to investigate the movement of melt through the volcanic crust of Iceland. We have captured melt in the act of moving within or through a series of sills ranging from the upper mantle to the shallow crust by the clusters of small earthquakes it produces as it forces its way upward. The melt is injected not just beneath the central volcanoes, but also at discrete locations along the rift zones and above the centre of the underlying mantle plume. We suggest that the high strain rates required to produce seismicity at depths of 10–25 km in a normally ductile part of the Icelandic crust are linked to the exsolution of carbon dioxide from the basaltic melts. The seismicity and geobarometry provide complementary information on the way that the melt moves through the crust, stalling and fractionating, and often freezing in one or more melt lenses on its way upwards: the seismicity shows what is happening instantaneously today, while the geobarometry gives constraints averaged over longer time scales on the depths of residence in the crust of melts prior to their eruption. This article is part of the Theo Murphy meeting issue ‘Magma reservoir architecture and dynamics'.

A Generalized Compositional Approach for Reservoir Simulation

1983 ◽  
Vol 23 (05) ◽  
pp. 727-742 ◽  
Author(s):  
Larry C. Young ◽  
Robert E. Stephenson
Keyword(s):  
Enhanced Recovery ◽  
Gas Condensate ◽  
Reservoir Modeling ◽  
Pressure Equation ◽  
Compositional Modeling ◽  
Fluid Property ◽  
Black Oil ◽  
Fluid Properties ◽  
Newton Raphson ◽  
Raphson Method

A procedure for solving compositional model equations is described. The procedure is based on the Newton Raphson iteration method. The equations and unknowns in the algorithm are ordered in such a way that different fluid property correlations can be accommodated leadily. Three different correlations have been implemented with the method. These include simplified correlations as well as a Redlich-Kwong equation of state (EOS). The example problems considered area conventional waterflood problem,displacement of oil by CO, andthe displacement of a gas condensate by nitrogen. These examples illustrate the utility of the different fluid-property correlations. The computing times reported are at least as low as for other methods that are specialized for a narrower class of problems. Introduction Black-oil models are used to study conventional recovery techniques in reservoirs for which fluid properties can be expressed as a function of pressure and bubble-point pressure. Compositional models are used when either the pressure. Compositional models are used when either the in-place or injected fluid causes fluid properties to be dependent on composition also. Examples of problems generally requiring compositional models are primary production or injection processes (such as primary production or injection processes (such as nitrogen injection) into gas condensate and volatile oil reservoirs and (2) enhanced recovery from oil reservoirs by CO or enriched gas injection. With deeper drilling, the frequency of gas condensate and volatile oil reservoir discoveries is increasing. The drive to increase domestic oil production has increased the importance of enhanced recovery by gas injection. These two factors suggest an increased need for compositional reservoir modeling. Conventional reservoir modeling is also likely to remain important for some time. In the past, two separate simulators have been developed and maintained for studying these two classes of problems. This result was dictated by the fact that compositional models have generally required substantially greater computing time than black-oil models. This paper describes a compositional modeling approach paper describes a compositional modeling approach useful for simulating both black-oil and compositional problems. The approach is based on the use of explicit problems. The approach is based on the use of explicit flow coefficients. For compositional modeling, two basic methods of solution have been proposed. We call these methods "Newton-Raphson" and "non-Newton-Raphson" methods. These methods differ in the manner in which a pressure equation is formed. In the Newton-Raphson method the iterative technique specifies how the pressure equation is formed. In the non-Newton-Raphson method, the composition dependence of certain ten-ns is neglected to form the pressure equation. With the non-Newton-Raphson pressure equation. With the non-Newton-Raphson methods, three to eight iterations have been reported per time step. Our experience with the Newton-Raphson method indicates that one to three iterations per tune step normally is sufficient. In the present study a Newton-Raphson iteration sequence is used. The calculations are organized in a manner which is both efficient and for which different fluid property descriptions can be accommodated readily. Early compositional simulators were based on K-values that were expressed as a function of pressure and convergence pressure. A number of potential difficulties are inherent in this approach. More recently, cubic equations of state such as the Redlich-Kwong, or Peng-Robinson appear to be more popular for the correlation Peng-Robinson appear to be more popular for the correlation of fluid properties. SPEJ p. 727

Combining Continuous Fluid Typing, Wireline Formation Testers, and Geochemical Measurements for an Improved Understanding of Reservoir Architecture

2008 ◽  
Vol 11 (01) ◽  
pp. 27-40 ◽  
Author(s):  
Hani Elshahawi ◽  
Lalitha Venkataramanan ◽  
Daniel McKinney ◽  
Matt Flannery ◽  
Oliver C. Mullins ◽  
...  
Keyword(s):  
Reservoir Architecture

The Efficacy of Lafutidine in Improving Preoperative Gastric Fluid Property: A Comparison with Ranitidine and Rabeprazole

2002 ◽  
Vol 95 (1) ◽  
pp. 144-147 ◽  
Author(s):  
Takanobu Uesugi ◽  
Katsuya Mikawa ◽  
Kahoru Nishina ◽  
Osamu Morikawa ◽  
Yumiko Takao ◽  
...  
Keyword(s):  
Gastric Fluid ◽  
Property A ◽  
Fluid Property
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