scholarly journals Using field data to inform and evaluate a new model of catchment hydrologic connectivity

2013 ◽  
Vol 49 (10) ◽  
pp. 6834-6846 ◽  
Author(s):  
Tyler Smith ◽  
Lucy Marshall ◽  
Brian McGlynn ◽  
Kelsey Jencso
Keyword(s):  
Field Data ◽  
Hydrologic Connectivity ◽  
New Model

Adumbrative Heterodox Dictum of Wellbore Aggregates From Sapient Recovery Factor Penchants For Honed Field Praxis

2021 ◽  
Author(s):  
Daniel Ikechukwu Egu ◽  
Anthony John Ilozobhie
Keyword(s):  
Field Data ◽  
Compressibility Factor ◽  
Recovery Factor ◽  
Special Technique ◽  
New Model ◽  
Field Development ◽  
Order Polynomial ◽  
Compressibility Factors ◽  
Field Planning ◽  
Oil Formation

Abstract Puissant field planning is increasingly becoming a sophisticated quandary with less emphasis on parametric synergy with reservoir spasmodic acuity. This conundrum leads to inaccurate harbinger of the required number of wells to be drilled for future field development programs from existing production and reservoir data particularly at pressures above the bubble point which is a major sobriety as orchestrated in most recent simulators. The aim of this erudition is to compendiously carry out astute predictive heterodox principles of wellbore aggregates from critical recovery factor parameters for savvy field planning. The main objectives are to glean and develop new propinquities for differential pressures (ΔP), rock compressibilities (Co) and oil formation volume factors (Bo) for predicting the number of wells to be drilled and recovery factors (RF) by equating the simulated results and the theoretical model (Ezekwe, 2010). To elucidate, metaphorize and ruminate new models. Reservoir and economic data was carefully simulated using FAST-FEKETE Evolution software for initial 40 future oil wells. Average results were mathematically correlated with recovery factor model to produce new correlations to quickly re-jig field planning efficiency. Results of matched and validated compressibility factors, differential reservoir pressures and oil formation volume factors were correlated with field data from Ezekwe (2011) model. Results of compressibility factor showed increasing similar 3rd order polynomial converging correlation for both models but gave slight divergence with increasing number of wells and RF. Results of differential pressures gave linearly increasing correlation with number of wells and RF while the new model had a cross-over point at 6435.64 psi for 2 wells but slightly increased divergently with number of wells and RF. Results of oil FVF gave a good similar regression (R2) of 0.999 while both models showed decreasing 3rd order polynomial correlation comparison with number of wells but with slight divergent disparity with increased RF. To further validate the potency of this study, detailed comprehensive paired sample test gave standard deviation, standard error of mean and degree of freedom of 0.00356, 0.0012 and 8 for compressibility factors; 324.7, 102.68 and 9 for differential pressure while the oil formation volume factor gave 0.0067, 0.0021 and 9. The predictions obtained by the new model showed appreciable degree of consistency and accuracy with number of wells and RF. This is perhaps largely hinged on the capacity to cogently infuse field data with theoretical and simulated models effectively. This study has clearly shown that no special technique or rigorous computational procedures is required to plan future number of wells to be drilled in a field or perhaps estimate the required RF. Sequel to this, further research is encouraged to inculcate more correlations based on comprehensive field validation studies to improve the efficacy of this model.

New model and field data on estimates of Antarctic Bottom Water flow through the deep Vema Channel

2017 ◽  
Vol 474 (1) ◽  
pp. 561-564 ◽  
Author(s):  
D. I. Frey ◽  
V. V. Fomin ◽  
N. A. Diansky ◽  
E. G. Morozov ◽  
V. G. Neiman
Keyword(s):  
Water Flow ◽  
Field Data ◽  
Bottom Water ◽  
Antarctic Bottom Water ◽  
New Model ◽  
Flow Through

scholarly journals A new model of field-aligned currents derived from high-precision satellite magnetic field data

2002 ◽  
Vol 29 (14) ◽  
pp. 28-1-28-4 ◽  
Author(s):  
V. O. Papitashvili ◽  
F. Christiansen ◽  
T. Neubert
Keyword(s):  
Magnetic Field ◽  
High Precision ◽  
Field Data ◽  
Magnetic Field Data ◽  
New Model

A New Permeability Model for ECBM and Carbon Dioxide Sequestration Based on Matchsticks Geometry

2017 ◽  
Vol 883 ◽  
pp. 12-16
Author(s):  
Jun Tao Li
Keyword(s):  
Coal Seam ◽  
History Matching ◽  
Field Data ◽  
Carbon Dioxide Sequestration ◽  
Permeability Model ◽  
New Model ◽  
Coal Permeability ◽  
Coal Matrix ◽  
Fracture Pressure ◽  
Shrinkage And Swelling

In the paper a new permeability model based on matchstick model accounting for stress change and matrix shrinkage and swelling caused by gas mixture (CH4 and CO2) is proposed. Finally, a history matching exercise is carried out using field data and experimental data and several models are compared to determine the accuracy of the new model. The modeling results show that the new model can fit the experimental results well. With the exchange of CH4 on coal matrix with CO2, the coal matrix tends to swell and the coal permeability will decrease. So the fracture pressure has better to be high enough to guarantee the easy flow of gases in coal seam. Only when we know the coal permeability change during CO2 injection, can we have better knowledge about the ECBM performance and CO2 sequestration feasibility for a certain coal seam.

The Hitachi Model HS-8 Electron Microscope

1967 ◽  
Vol 25 ◽  
pp. 238-239
Author(s):  
H. Akabori ◽  
K. Nishiwaki ◽  
K. Yoneta
Keyword(s):  
Electron Microscope ◽  
New Model ◽  
Predecessor Model

By improving the predecessor Model HS- 7 electron microscope for the purpose of easier operation, we have recently completed new Model HS-8 electron microscope featuring higher performance and ease of operation.

516: A Simplified Method to Estimate the Absolute Renal Uptake of 99MTC-DMSA: Evaluation with a New Model using the Radioactivity of Nephrectomy Specimens as Reference

2005 ◽  
Vol 173 (4S) ◽  
pp. 140-141
Author(s):  
Mariana Lima ◽  
Celso D. Ramos ◽  
Sérgio Q. Brunetto ◽  
Marcelo Lopes de Lima ◽  
Carla R.M. Sansana ◽  
...  
Keyword(s):  
New Model ◽  
Renal Uptake ◽  
Simplified Method ◽  
The Absolute

Analyzing Stochastic Dependence of Cognitive Processes in Multidimensional Source Recognition

2014 ◽  
Vol 61 (5) ◽  
pp. 402-415 ◽  
Author(s):  
Thorsten Meiser
Keyword(s):  
Cognitive Processes ◽  
Model Complexity ◽  
Multinomial Model ◽  
Stochastic Dependence ◽  
New Model ◽  
Multinomial Processing Tree ◽  
Cognitive States ◽  
The Family ◽  
Tree Models ◽  
Flexible Framework

Stochastic dependence among cognitive processes can be modeled in different ways, and the family of multinomial processing tree models provides a flexible framework for analyzing stochastic dependence among discrete cognitive states. This article presents a multinomial model of multidimensional source recognition that specifies stochastic dependence by a parameter for the joint retrieval of multiple source attributes together with parameters for stochastically independent retrieval. The new model is equivalent to a previous multinomial model of multidimensional source memory for a subset of the parameter space. An empirical application illustrates the advantages of the new multinomial model of joint source recognition. The new model allows for a direct comparison of joint source retrieval across conditions, it avoids statistical problems due to inflated confidence intervals and does not imply a conceptual imbalance between source dimensions. Model selection criteria that take model complexity into account corroborate the new model of joint source recognition.

From Harm to Help: A New Model of Feminist Therapy

1986 ◽  
Vol 31 (2) ◽  
pp. 108-109
Author(s):  
Alexandra G. Kaplan
Keyword(s):  
Feminist Therapy ◽  
New Model
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