Overpressures in the Uinta Basin, Utah: Analysis using a three-dimensional basin evolution model

2001 ◽  
Vol 37 (4) ◽  
pp. 857-871 ◽  
Author(s):  
Brian J. O. L. McPherson ◽  
John D. Bredehoeft
Keyword(s):  
Three Dimensional ◽  
Evolution Model ◽  
Basin Evolution ◽  
Uinta Basin

Damage and fatigue analysis of AA7050-T7451 plate with cold expanded hole based on a micro-void evolution model

2019 ◽  
Vol 54 (2) ◽  
pp. 105-115
Author(s):  
Fengmei Xue ◽  
Fuguo Li ◽  
Xiaolei Cui
Keyword(s):  
Fatigue Life ◽  
Fatigue Behavior ◽  
Three Dimensional ◽  
Complex Stress ◽  
Evolution Model ◽  
Fatigue Properties ◽  
Strengthening Effect ◽  
Void Evolution ◽  
Cold Worked ◽  
Three Dimensional Finite Element

The ultimate tensile strength and fatigue life of plate with cold worked hole under high loading are always key designing parameters in engineering field. In this article, different cold expanded degrees (ranging from 1.69% to 11.11%) are applied to plate specimens with a central hole, made of 7050-T7451 aluminum alloy. The damage and fatigue properties are investigated by the three-dimensional finite element method with a user subroutine embedded into a void evolution model under complex stress states. The damage analysis indicates that plastic damage becomes critical when the cold expanded degree is larger than 7.14%, which does not suit for further service due to the loss of toughness. The cold expanded degree of 5.26% is identified as the best. It can be found that the fatigue life improves with the increased cold expanded degree. The small cold expanded degree leads to poor strengthening effect because of lacking sufficient residual stress, while large cold expanded degree makes micro-cracks emerge, which is beneficial to the increase in strengthening. All these results prove that the numerical analysis can accurately predict fatigue behavior of AA7050-T7451 plate based on our proposed approach, which is expected to be a powerful method in engineering field.

Sensitivity of a basin evolution model to the nature of runoff production and to initial conditions

1992 ◽  
Vol 28 (10) ◽  
pp. 2733-2741 ◽  
Author(s):  
Ede J. Ijjász-Vásquez ◽  
Rafael L. Bras ◽  
Glenn E. Moglen
Keyword(s):  
Initial Conditions ◽  
Evolution Model ◽  
Basin Evolution ◽  
Runoff Production

scholarly journals The Coastline Evolution Model 2D (CEM2D) V1.1

2021 ◽  
Vol 14 (9) ◽  
pp. 5507-5523
Author(s):  
Chloe Leach ◽  
Tom Coulthard ◽  
Andrew Barkwith ◽  
Daniel R. Parsons ◽  
Susan Manson
Keyword(s):  
Sediment Transport ◽  
Three Dimensional ◽  
Transport Processes ◽  
Evolution Model ◽  
One Dimensional ◽  
Coastline Evolution ◽  
Fundamental Cause ◽  
Formation And Evolution ◽  
Three Dimensional Models ◽  
Variable Water

Abstract. Coasts are among the most intensely used environments on the planet, but they also present dynamic and unique hazards, including flooding and erosion. Sea level rise and changing wave climates will alter patterns of erosion and deposition, but some existing coastline evolution models are unable to simulate these effects due to their one-dimensional representation of the systems or the sediment transport processes. In this paper, the development and application of the Coastline Evolution Model 2D (CEM2D) are presented, a model which incorporates these influences. The model has been developed from the established CEM and is capable of simulating fundamental cause–effect relationships in coastal systems. The two-dimensional storage and transport of sediment in CEM2D, which are only done in one-dimension in CEM, mean it is also capable of exploring the influence of a variable water level on sediment transport and the formation and evolution of morphological features and landforms at the mesoscale. The model sits between one-dimensional and three-dimensional models, with the advantage of increased complexity and detail in model outputs compared to the former but with more efficiency and less computational expense than the latter.

scholarly journals Gas generation and overpressure: Effects on seismic attributes

Geophysics ◽  
2000 ◽  
Vol 65 (6) ◽  
pp. 1769-1779 ◽  
Author(s):  
José M. Carcione ◽  
Anthony F. Gangi
Keyword(s):  
Pore Pressure ◽  
Evolution Model ◽  
Excess Pore Pressure ◽  
Basin Evolution ◽  
Order Kinetic ◽  
Effective Pressure ◽  
Gas Generation ◽  
Oil Gas ◽  
Gas Conversion ◽  
Excess Pore

Drilling of deep gas resources is hampered by high risk associated with unexpected overpressure zones. Knowledge of pore pressure using seismic data, as for instance from seismic‐while‐drilling techniques, will help producers plan the drilling process in real time to control potentially dangerous abnormal pressures. We assume a simple basin‐evolution model with a constant sedimentation rate and a constant geothermal gradient. Oil/gas conversion starts at a given depth in a reservoir volume sealed with faults whose permeability is sufficiently low so that the increase in pressure caused by gas generation greatly exceeds the dissipation of pressure by flow. Assuming a first‐order kinetic reaction, with a reaction rate satisfying the Arrhenius equation, the oil/gas conversion fraction is calculated. Balancing mass and volume fractions in the pore space yields the excess pore pressure and the fluid saturations. This excess pore pressure determines the effective pressure, which in turn determines the skeleton bulk moduli. If the generated gas goes into solution in the oil, this effect does not greatly change the depth and oil/gas conversion fraction for which the hydrostatic pressure approaches the lithostatic pressure. The seismic velocities versus pore pressure and differential pressure are computed by using a model for wave propagation in a porous medium saturated with oil and gas. Moreover, the velocities and attenuation factors versus frequency are obtained by including rock‐frame/fluid viscoelastic effects to match ultrasonic experimental velocities. For the basin‐evolution model used here, pore pressure is seismically visible when the effective pressure is less than about 15 MPa and the oil/gas conversion is about 2.5% percent.

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