25 papers:
CASE-2015-GiulianiC #optimisation #problem- Derivative-free optimization with use of problem structure: Applications to oil production (CMG, EC), pp. 764–768.
- CASE-2015-NetoCHS #approximate #optimisation
- A piecewise linear-quadratic approximation for production optimization of gas-lifted oil fields (LRN, EC, RH, TLS), pp. 793–798.
CSCW-2015-JafarinaimiM- Collective Intelligence or Group Think?: Engaging Participation Patterns in World without Oil (NJ, EMM), pp. 1872–1881.
HIMI-IKD-2015-TrevisanPMG #big data #health #industrial #problem #security #visualisation- Big Data Visualization for Occupational Health and Security Problem in Oil and Gas Industry (DGT, NSP, LM, ACBG), pp. 46–54.
- CASE-2014-WuBZ #approach #linear #scheduling
- Linear programming-based approach to scheduling of crude oil operations in refinery with oil type mixing requirement (NW, LB, MZ), pp. 430–435.
ECIR-2014-TraubOHH #effectiveness- Measuring the Effectiveness of Gamesourcing Expert Oil Painting Annotations (MCT, JvO, JH, LH), pp. 112–123.
KMIS-2014-RamanOC #capacity #industrial- Absorptive Capacity in Joint Project Teams — Evidence from Nigerian Upstream Oil Industry (MR, AOO, CWC), pp. 140–145.
- CASE-2013-GiulianiCP #analysis #optimisation
- A computational analysis of nondifferentiable optimization: Applications to production maximization in gas-lifted oil fields (CMG, EC, AP), pp. 286–291.
- CASE-2013-SilvaCTS #automation #linear #optimisation #programming
- A mixed-integer linear programming model for automatic routing decisions in oil production optimization (TLS, EC, AFT, SS), pp. 280–285.
FM-2012-ZhaoZKL #approach #case study #hybrid #industrial- A “Hybrid” Approach for Synthesizing Optimal Controllers of Hybrid Systems: A Case Study of the Oil Pump Industrial Example (HZ, NZ, DK, KGL), pp. 471–485.
- CASE-2011-NishiYI #approach #generative #problem #scheduling
- Column generation approach to ship scheduling problems for international crude oil transportation (TN, SY, TI), pp. 468–473.
DAC-2009-GroeneveldRPCC- Oil fields, hedge funds, and drugs (PG, RAR, JWP, ECC, JC), pp. 416–417.
ICEIS-ISAS-2009-LopesGBF #case study #industrial #ontology #reverse engineering- Reverse Engineering a Domain Ontology to Uncover Fundamental Ontological Distinctions — An Industrial Case Study in the Domain of Oil and Gas Production and Exploration (ML, GG, FAB, RdAF), pp. 262–267.
KDD-2009-LiuKJ #graph #learning #monitoring- Learning dynamic temporal graphs for oil-production equipment monitoring system (YL, JRK, OJ), pp. 1225–1234.
- CASE-2008-ChuCSC #algorithm #polynomial
- An O(T3) Polynomial algorithm for crude oil transportation (FC, CC, QS, HC), pp. 303–308.
- CASE-2007-CamponogaraCP #scheduling
- Compressor Scheduling in Oil Fields: A Piecewise-Linear Formulation (EC, MPdC, AP), pp. 436–441.
- ICEIS-AIDSS-2006-RamezaniM #case study #design #fuzzy #implementation
- Design and Implementation of a Fuzzy Expert Decision Support System for Vendor Selection — Case Study in OIEC Iran (Oil Industerial Engineering and Construction) (MR, GAM), pp. 243–248.
ICPR-v2-2006-RamalhoM #detection #image #using- Using Boosting to Improve Oil Spill Detection in SAR Images (GLBR, FNSdM), pp. 1066–1069.
ICSE-2004-BlackburnCM #garbage collection #java #performance- Oil and Water? High Performance Garbage Collection in Java with MMTk (SMB, PC, KSM), pp. 137–146.
- ICSE-2004-DongLLW #verification
- Verifying DAML+OIL and Beyond in Z/EVES (JSD, CHL, YFL, HHW), pp. 201–210.
IJCAR-2004-TurhanK #named #standard- Sonic — Non-standard Inferences Go OilEd (AYT, CK), pp. 321–325.
- ICEIS-v2-2001-ArevaloCQAV #analysis #corba #design #framework #industrial #web
- A CORBA and Web Technology Based Framework for the Analysis and Optimal Design of Complex Systems in the Oil Industry (CJA, JAC, NVQ, NA, JV), pp. 953–961.
- ICPR-v2-2000-MottlDLM #pattern matching #pattern recognition #recognition
- Pattern Recognition in Spatial Data: A New Method of Seismic Explorations for Oil and Gas in Crystalline Basement Rocks (VM, SD, VL, IBM), pp. 2315–2318.
- HCI-CCAD-1999-Rebstock #case study #complexity #industrial #lessons learnt
- Adding complexity to the electronic market model: lessons learned from an oil industry case study (MR), pp. 1147–1151.
INTERCHI-1993-MonkNGMM #case study #communication- Mixing oil and water?: Ethnography versus experimental psychology in the study of computer-mediated communication (AFM, BAN, NG, MMM, JCM), pp. 3–6.
