Optimization of Ascent Assembly Design Based on a Combinatorial Problem Representation

For S-15 and S-14 wells at South S Field, drilling of the 12-1/4” hole section became the longest tangent hole section interval of both wells. There were several challenges identified where hole problems can occur. The hole problems often occur in the unconsolidated sand layers and porous limestone formation sections of the hole during tripping in/out operations. Most of the hole problems are closely related to the design of the Bottom Hole Assembly (BHA). In many instances, hole problems resulted in significant additional drilling time. As an effort to resolve this issue, a new BHA setup was then designed to enhance the BHA drilling performance and eventually eliminate hole problems while drilling. The basic idea of the enhanced BHA is to provide more annulus clearance and limber BHA. The purpose is to reduce the Equivalent Circulating Density (ECD,) less contact area with formation, and reduce packoff risk while drilling through an unconsolidated section of the rocks. Engineering simulations were conducted to ensure that the enhanced BHA were able to deliver a good drilling performance. As a results, improved drilling performance can be seen on S-14 well which applied the enhanced BHA design. The enhanced BHA was able to drill the 12-1/4” tangent hole section to total depth (TD) with certain drilling parameter. Hole problems were no longer an issue during tripping out/in operation. This improvement led to significant rig time and cost savings of intermediate hole section drilling compared to S-15 well. The new enhanced BHA design has become one of the company’s benchmarks for drilling directional wells in South S Field.

A Combinatorial Problem Which Is Complete in Polynomial Space

Journal of the ACM ◽

10.1145/321978.321989 ◽

1976 ◽

Vol 23 (4) ◽

pp. 710-719 ◽

Cited By ~ 83

Author(s):

S. Even ◽

R. E. Tarjan

Keyword(s):

Combinatorial Problem ◽

Polynomial Space

New Problem Representation for the Simultaneous Resolution of Batching and Scheduling in Multiproduct Batch Plants

Industrial & Engineering Chemistry Research ◽

10.1021/acs.iecr.0c04434 ◽

2021 ◽

Vol 60 (6) ◽

pp. 2523-2535

Author(s):

Sergio Ackermann ◽

Yanina Fumero ◽

Jorge M. Montagna

Keyword(s):

Problem Representation ◽

Batch Plants ◽

Simultaneous Resolution

Adaptive Gene Level Mutation

Algorithms ◽

10.3390/a14010016 ◽

2021 ◽

Vol 14 (1) ◽

pp. 16

Author(s):

Jalal Al-afandi ◽

Horváth András

Keyword(s):

Genetic Algorithms ◽

Stochastic Optimization ◽

Specific Problem ◽

Traditional Approach ◽

Fitness Function ◽

Optimization Methods ◽

Analytic Solutions ◽

Problem Representation ◽

Travelling Salesman ◽

Gene Level

Genetic Algorithms are stochastic optimization methods where solution candidates, complying to a specific problem representation, are evaluated according to a predefined fitness function. These approaches can provide solutions in various tasks even, where analytic solutions can not be or are too complex to be computed. In this paper we will show, how certain set of problems are partially solvable allowing us to grade segments of a solution individually, which results local and individual tuning of mutation parameters for genes. We will demonstrate the efficiency of our method on the N-Queens and travelling salesman problems where we can demonstrate that our approach always results faster convergence and in most cases a lower error than the traditional approach.

Assembly Design of Additive Manufacturing Products: A Computational Framework for Part Separation

Procedia CIRP ◽

10.1016/j.procir.2021.01.063 ◽

2021 ◽

Vol 96 ◽

pp. 121-126

Author(s):

Anupam Keshari ◽

Alessandro Simeone ◽

Manoj Kumar Tiwari

Keyword(s):

Additive Manufacturing ◽

Computational Framework ◽

Assembly Design

A comparison of hygrothermal simulation results derived from four simulation tools

Journal of Building Physics ◽

10.1177/1744259120988760 ◽

2021 ◽

pp. 174425912098876

Author(s):

Maurice Defo ◽

Michael Lacasse ◽

Abdelaziz Laouadi

Keyword(s):

Relative Humidity ◽

Outer Layer ◽

Growth Index ◽

Mould Growth ◽

Simulation Tools ◽

Assembly Design ◽

Hygrothermal Simulation ◽

Moisture Performance ◽

Wood Frame ◽

Wall Assembly

The objective of this work was to compare the hygrothermal responses and the moisture performance of four wood-frame walls as predicted by four hygrothermal (HAM) simulation tools, namely: DELPHIN, WUFI, hygIRC and COMSOL. The four wall systems differ only in their cladding type; these were fibreboard, vinyl, stucco and brick. Three Canadian cities having different climates were selected for simulations: Ottawa, Ontario; Vancouver, British Columbia and Calgary, Alberta. In each city, simulations were run for 2 years. Temperature and relative humidity of the outer layer of OSB sheathing were compared amongst the four simulation tools. The mould growth index on the outer layer of the OSB sheathing was used to compare the moisture performance predicted by the respective hygrothermal simulation tools. Temperature profiles of the outer layer of the OSB sheathing were all in good agreement for the four HAM tools in the three locations. For relative humidity, the highest discrepancies amongst the four tools were found with stucco cladding where differences as high as 20% could be found from time to time. Mould growth indices predicted by the four HAM tools were similar in some cases but different in other cases. The discrepancies amongst the different HAM tools were likely related to: the material property processing, how the quantity of wind-driven rain absorbed at the cladding surface is computed and some implementation details. Despite these discrepancies, The tools generally yielded consistent results and could be used for comparing the impacts of different designs on the risk of premature deterioration, as well as for evaluating the relative effects of climate change on a given wall assembly design.

Anisotropic nanocrystal shape and ligand design for co-assembly

Science Advances ◽

10.1126/sciadv.abf9402 ◽

2021 ◽

Vol 7 (23) ◽

pp. eabf9402

Author(s):

Katherine C. Elbert ◽

William Zygmunt ◽

Thi Vo ◽

Corbin M. Vara ◽

Daniel J. Rosen ◽

...

Keyword(s):

Rational Design ◽

Ligand Design ◽

Building Blocks ◽

Two Dimensional ◽

Secondary System ◽

Assembly Design ◽

Ligand Shell ◽

Powerful Approach ◽

Anisotropic Systems ◽

Direct Materials

The use of nanocrystal (NC) building blocks to create metamaterials is a powerful approach to access emergent materials. Given the immense library of materials choices, progress in this area for anisotropic NCs is limited by the lack of co-assembly design principles. Here, we use a rational design approach to guide the co-assembly of two such anisotropic systems. We modulate the removal of geometrical incompatibilities between NCs by tuning the ligand shell, taking advantage of the lock-and-key motifs between emergent shapes of the ligand coating to subvert phase separation. Using a combination of theory, simulation, and experiments, we use our strategy to achieve co-assembly of a binary system of cubes and triangular plates and a secondary system involving two two-dimensional (2D) nanoplates. This theory-guided approach to NC assembly has the potential to direct materials choices for targeted binary co-assembly.

Ant colony optimization–evolutionary hybrid optimization with translation of problem representation

Computational Intelligence ◽

10.1111/coin.12439 ◽

2021 ◽

Author(s):

Wojciech Polnik ◽

Jacek Stobiecki ◽

Aleksander Byrski ◽

Marek Kisiel‐Dorohinicki

Keyword(s):

Ant Colony Optimization ◽

Ant Colony ◽

Problem Representation ◽

Hybrid Optimization