JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/09", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Engineering", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0912", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Materials Engineering", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0914", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Resources Engineering and Extractive Metallurgy", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "NSF Center for Resource, Recovery & Recycling Metallurgical & Materials Engineering Colorado School of Mines, Golden, CO, USA", 
          "id": "http://www.grid.ac/institutes/grid.254549.b", 
          "name": [
            "NSF Center for Resource, Recovery & Recycling Metallurgical & Materials Engineering Colorado School of Mines, Golden, CO, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Mishra", 
        "givenName": "Brajendra", 
        "id": "sg:person.01022526340.57", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01022526340.57"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "NSF Center for Resource, Recovery & Recycling, Metals Processing Institute, Worcester Polytechnic Institute, Worcester, MA, USA", 
          "id": "http://www.grid.ac/institutes/grid.268323.e", 
          "name": [
            "NSF Center for Resource, Recovery & Recycling, Metals Processing Institute, Worcester Polytechnic Institute, Worcester, MA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Apelian", 
        "givenName": "Diran", 
        "id": "sg:person.014007561701.24", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014007561701.24"
        ], 
        "type": "Person"
      }
    ], 
    "datePublished": "2014", 
    "datePublishedReg": "2014-01-01", 
    "description": "Drill pipe steels are in contact with CO2 and H2S environments, depending on the oil and gas field. These steels have to be resistant to various in-service conditions including aggressive environments containing CO2, H2S, O2, and chlorides, in addition to static and dynamic mechanical stresses. In this respect stress corrosion cracking susceptibility of two grades of drill pipe steel in CO2 environment have been studied simulating the bottom hole oil and gas well conditions. SSRT results show that SCC susceptibility or loss of ductility changes with temperature and increasing temperature increases the loss of ductility. No FeCO3 is observed below 100 \u00b0C, and density of FeCO3 is higher in grip section than gauge length and this is due to strain disturbance of growth of iron carbonate crystals. Material selection for down hole in CO2 containing environments needs has been reviewed and probability of SCC occurrence in higher temperatures has been included.In another critical application, during oil and gas operations, steel pipeline networks are subjected to different corrosion deterioration mechanisms, one of which is microbiologically influenced corrosion (MIC) that results from accelerated deterioration caused by different microbial activities present in hydrocarbon systems. Bacterial adhesion is a detrimental step in the MIC process. The tendency of a bacterium to adhere to the metal surface can be evaluated using thermodynamics approaches via interaction energies. Thermodynamic and surface energy approaches of bacterial adhesion will be reviewed. In addition, the subsequent physical-chemical interaction between the biofilm and substratum and its implication for MIC in pipeline systems will be discussed. Further, a new development of an advanced grade of cast austenitic stainless steel for application as drill collar will be highlighted.", 
    "genre": "chapter", 
    "id": "sg:pub.10.1007/978-3-319-48765-6_8", 
    "inLanguage": "en", 
    "isAccessibleForFree": false, 
    "isPartOf": {
      "isbn": [
        "978-3-319-48598-0", 
        "978-3-319-48765-6"
      ], 
      "name": "Energy Materials 2014", 
      "type": "Book"
    }, 
    "keywords": [
      "pipe steel", 
      "gas well conditions", 
      "austenitic stainless steel", 
      "loss of ductility", 
      "drill pipe steel", 
      "surface energy approach", 
      "dynamic mechanical stress", 
      "SSRT results", 
      "stress corrosion", 
      "SCC susceptibility", 
      "ductility change", 
      "advanced steels", 
      "physical-chemical interactions", 
      "aggressive environments", 
      "stainless steel", 
      "hole oil", 
      "H2S environment", 
      "service conditions", 
      "material selection", 
      "steel", 
      "grip section", 
      "deterioration mechanisms", 
      "well conditions", 
      "gauge length", 
      "gas industry", 
      "pipeline system", 
      "pipeline network", 
      "drill collar", 
      "down hole", 
      "MIC process", 
      "corrosion", 
      "energy approach", 
      "gas operations", 
      "gas field", 
      "bacterial adhesion", 
      "mechanical stress", 
      "CO2 environment", 
      "high temperature", 
      "metal surface", 
      "SCC occurrence", 
      "thermodynamic approach", 
      "FeCO3", 
      "temperature", 
      "hydrocarbon systems", 
      "ductility", 
      "oil", 
      "critical applications", 
      "accelerated deterioration", 
      "CO2", 
      "detrimental step", 
      "carbonate crystals", 
      "adhesion", 
      "applications", 
      "surface", 
      "conditions", 
      "new developments", 
      "operation", 
      "energy", 
      "system", 
      "H2", 
      "density", 
      "stress", 
      "holes", 
      "environment needs", 
      "industry", 
      "environment", 
      "thermodynamics", 
      "contact", 
      "field", 
      "process", 
      "microbial activity", 
      "interaction energy", 
      "addition", 
      "approach", 
      "crystals", 
      "biofilms", 
      "deterioration", 
      "loss", 
      "disturbances", 
      "O2", 
      "step", 
      "chloride", 
      "results", 
      "length", 
      "different microbial activities", 
      "sections", 
      "network", 
      "grade", 
      "challenges", 
      "mechanism", 
      "collar", 
      "development", 
      "growth", 
      "interaction", 
      "tendency", 
      "selection", 
      "changes", 
      "need", 
      "substratum", 
      "occurrence", 
      "susceptibility", 
      "probability", 
      "activity", 
      "implications", 
      "bacterium", 
      "disturbance of growth", 
      "advanced grades", 
      "MIC", 
      "respect stress corrosion", 
      "bottom hole oil", 
      "density of FeCO3", 
      "iron carbonate crystals", 
      "steel pipeline networks", 
      "different corrosion deterioration mechanisms", 
      "corrosion deterioration mechanisms", 
      "subsequent physical-chemical interaction"
    ], 
    "name": "Corrosion of Advanced Steels: Challenges in the Oil and Gas Industry", 
    "pagination": "71-79", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1084680810"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/978-3-319-48765-6_8"
        ]
      }
    ], 
    "publisher": {
      "name": "Springer Nature", 
      "type": "Organisation"
    }, 
    "sameAs": [
      "https://doi.org/10.1007/978-3-319-48765-6_8", 
      "https://app.dimensions.ai/details/publication/pub.1084680810"
    ], 
    "sdDataset": "chapters", 
    "sdDatePublished": "2022-01-01T19:18", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20220101/entities/gbq_results/chapter/chapter_315.jsonl", 
    "type": "Chapter", 
    "url": "https://doi.org/10.1007/978-3-319-48765-6_8"
  }
]

Download the RDF metadata as:  json-ld nt turtle xml License info

This table displays all metadata directly associated to this object as RDF triples.

184 TRIPLES      22 PREDICATES      142 URIs      134 LITERALS      6 BLANK NODES