Details

Title

Effect of Rock Properties on ROP Modeling Using Statistical and Intelligent Methods: A Case Study of an Oil Well in Southwest of Iran

Journal title

Archives of Mining Sciences

Yearbook

2017

Numer

No 1

Publication authors

Divisions of PAS

Nauki o Ziemi

Description

Archives of Mining Sciences (AMS) publish research results of wide interest in all fields of mining sciences which include: rock mechanics, mining engineering, mineral processing, geotechnical engineering and tunnelling, mining and engineering geology, minig geodesy and geophysics, ventilation systems, environmental protection in mining and economical aspects in mining.

The journal established by the Polish Academy of Sciences, has been regularly issued since 1956. It enable collaboration and exchange of ideas between researchers from different countries as well as provides forum for the publication of high quality papers.

Services indexing the journal: Astrophysics Data System (ADS), Baidu Scholar, BazTech, Celdes, Chemical Abstracts Service (CAS), Chemical Abstracts Service (CAS) – SciFinder, CNKI Scholar (China National Knowledge Infrastructure), CNPIEC, EBSCO - TOC Premier, EBSCO Discovery Service, EEVL, Genamics, JournalSeek, GeoRef, Google Scholar, Inspec, J-Gate, JournalTOCs, Naviga (Softweco), PKP, Primo Central (ExLibris), ProQuest (relevant databases), ReadCube, ResearchGate, Summon (Serials Solutions/ProQuest), TDOne (TDNet), TEMA Technik und Management, Thomson Reuters - Journal Citation Reports/Science Edition, Thomson Reuters - Science Citation Index Expanded, U.S. Geological Survey Library, Ulrich's Periodicals Directory/ulrichsweb WorldCat (OCLC).

IMPACT FACTOR 2017: 0.629, 5-year: 0,706

Score of the Ministry of Science and Higher Education = 20

Publisher

Committee of Mining PAS

Date

2017

Identifier

ISSN 0860-7001

References

Yasar (2004), Correlating sound velocity with the density , compressive strength and Young s modulus of carbonate rocks of and, International Journal Rock Mechanics Mining Sciences, 41, 871, doi.org/10.1016/j.ijrmms.2004.01.012 ; Warren (1985), Bottomhole Stress Factors Affecting Drilling Rate at Depth of, Journal Petroleum Technology, 1523, doi.org/10.2118/13381-PA ; Chang (2006), Empirical relations between rock strength and physical properties in sedimentary rocks of and, Journal Petroleum Science Engineering, 51, 223, doi.org/10.1016/j.petrol.2006.01.003 ; Rodgers (1988), Thirteen Ways to Look at the Correlation Coefficient The, American Statistician, 42. ; Ameen (2009), Predicting rock mechanical properties of carbonates from wireline logs ( A case study : Arab - D reservoir , Ghawar field , Saudi Arabia ) Marine and, Petroleum Geology, 26, 430, doi.org/10.1016/j.marpetgeo.2009.01.017 ; Paiaman (2009), askari Effect of Drilling Fluid Properties on Rate of Penetration Nafta Scientific, Journal, 60. ; Tiryaki (2008), Application of artificial neural networks for predicting the cuttability of rocks by drag tools Tunnelling and Underground Space, Technology, 23, 273, doi.org/10.1016/j.tust.2007.04.008 ; Shirkavand (2009), Rock Mechanical Modelling for a Underbalanced Drilling Rate of Penetration Prediction In rd th Canada Rock, Rock Mechanics Symposium Mechanics Symposium, 4, 43. ; Prasad (2009), Drillability of a Rock in Terms of its Physico - Mechanical and Micro - Structural Properties In rd th Canada Rock, Rock Mechanics Symposium Mechanics Symposium, 4. ; Famini (1992), Using theoretical descriptors in quantitative structure activity relationships : Some physicochemical properties of, Journal Physical Organic Chemistry, 395, doi.org/10.1002/poc.610050704 ; Fjaer (2008), Petroleum Related Rock nd, Mechanics, 1. ; Basarir (2014), Penetration rate prediction for diamond bit drilling by adaptive neuro - fuzzy inference system and multiple regressions, Engineering Geology, 173, doi.org/10.1016/j.enggeo.2014.02.006 ; Ma (2011), Formation drillability prediction based on multi - source information fusion of and, Journal Petroleum Science Engineering, 78, 438, doi.org/10.1016/j.petrol.2011.06.017 ; Gstalder (1966), Measurement of Some Mechanical Properties of Rocks and Their Relationship to Rock Drillability of, Journal Petroleum Technology, 991, doi.org/10.2118/1463-PA ; Somerton (1969), Further Studies of the to Relation of Physical Properties of Rock to Rock Drillability In Drilling and Rock, Mechanics Symposium, 87. ; Hoover (1981), Laboratory Evaluation of PDC Drill Bits Under High - Speed and High - Wear Conditions of, Journal Petroleum Technology, 2316, doi.org/10.2118/10326-PA ; Gholami (2014), Practical application of failure criteria in determining safe mud weight windows in drilling operations of Rock and Geotechnical, Journal Mechanics Engineering, 6, 13, doi.org/10.1016/j.jrmge.2013.11.002 ; Howarth (1987), The Effect of Pre - existing Microcavities on Mechanical Rock Performance in Sedimentary and Crystalline Rocks of and Geomechanics, International Journal Rock Mechanics Mining Sciences, 20, 223, doi.org/10.1016/0148-9062(87)90177-X ; Zhang (2011), Pore pressure prediction from well logs : Methods , modifications , and new approaches Earth -, Science Reviews, 108, 50, doi.org/10.1016/j.earscirev.2011.06.001 ; Kahraman (2000), Prediction of the penetration rate of rotary blast hole drills using a new drillability index of and, International Journal Rock Mechanics Mining Sciences, 37. ; Babatunde (2011), Investigation of the Effects of Vibration Frequency on Rotary Drilling Penetration Rate Using Diamond Drag Bit In th Geomechanics Symposium, Rock Mechanics.

DOI

10.1515/amsc-2017-0010

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