Exxonmobil Upstream Research Company

Marcus Asmann

Bruce A Dale

John W Mohr

Jason A Burdette

James Karl Powers

David A Baker

Mark W Biegler

Ismail Ceyhan

James H Myers

A S David Khemakhem

David C Haeberle

Timothy G Benish

Hao Bin Huang

Sheng-Yuan Hsu

Scott R Clingman

Timothy K Ellison

Darren F Rosenbaum

Jing Wan

Rahul Pakal

Brian W Duffy

As David Khemakhem

Tim G Benish

AS David Khemakhem

A method associated with the selection of tubulars for hydrocarbon production is described based upon evaluating the performance limits of threaded connections. Constituents of an evaluation group of threaded connections are determined and then a first group of the connections is evaluated via model analysis over a range of conditions. Then, physical testing on a first group of threaded connections in the evaluation group is conducted over that range of conditions. Once modeled, the results from the physical testing and the modeling analysis of the first group are compared to assess a characteristic performance factor for the first group. A second group of threaded connections are determined and the assessed performance factor from the first group is applied to a second group, and the performance limits of the second group are defined over the range of conditions based on this characteristic performance factor, without requiring testing the second group.

Method and system for evaluating groups of threaded connections

A method associated with the selection of tubulars for hydrocarbon production is described. In particular, the method is associated with the evaluation of performance limits of threaded connections. In this method, constituents of an evaluation group of threaded connections are determined via model analysis. Then, physical testing on a first group of threaded connections in the evaluation group is conducted. Modeling analysis on the first group and a second group of threaded connections is performed, wherein the second group are not physically tested. Once modeled, the results from the physical testing and the modeling analysis are compared to assess a characteristic performance factor for the first group. Then, the characteristic performance factor is applied to the second group, and the performance limits are defined based on this characteristic performance factor.

A method and apparatus for producing hydrocarbons is described. In the method, a failure mode for a well completion is identified. A numerical engineering model to describe an event that results in the failure mode is constructed. The numerical engineering model is converted into a response surface. Then, the response surface is associated with a user tool configured to provide the response surface for analysis of another well.

Well modeling associated with extraction of hydrocarbons from subsurface formations

A method for modeling a reservoir response in a subsurface system is provided. The subsurface system has at least one subsurface feature. Preferably, the subsurface system comprises a hydrocarbon reservoir. The method includes defining physical boundaries for the subsurface system, and locating the at least one subsurface feature within the physical boundaries. The method also includes creating a finite element mesh within the physical boundaries. The finite element mesh may have elements that cross the at least one subsurface feature such that the subsurface feature intersects elements in the mesh. A computer-based numerical simulation is then performed wherein the effects of the subsurface feature are recognized in the response. The reservoir response may be, for example, pore pressure or displacement at a given location within the physical boundaries.

Modeling of hydrocarbon reservoirs containing subsurface features

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Pearland, TX, United States of America

Marcus Asmann