Ubicación: Global + English
Global Global Algérie Français Algeria English Angola Português Angola English Argentina Español Argentina English Australia English Austria Deutsch Austria English Azerbaijan English Azerbaijan Русский Bahrain English Bangladesh English Belgium English Belgium Français Belgium Nederlands Brazil Português Brazil English Bulgaria български Bulgaria English Cameroon English Cameroon Français Canada English Canada Français Chile Español Chile English China 中文 China 日本語 China English Colombia Español Colombia English Croatia English Czech Republic Čeština Czech Republic English Denmark English Djibouti English Ecuador Español Ecuador English Egypt English Estonia English Ethiopia English Finland Suomi Finland English France Français France English Georgia English Georgia Русский Germany Deutsch Germany English Ghana English Greece Ελληνικά Greece English Guatemala Español Guatemala English Hong Kong, China English Hong Kong, China 中文 Hungary Magyar Hungary English India English Indonesia English Iraq English Ireland English Italy Italiano Italy English Ivory Coast Français Ivory Coast English Japan 日本語 Japan English Jordan English Kazakhstan Русский Kazakhstan English Kenya English Kuwait English Kyrgyzstan Русский Kyrgyzstan English Latvia English Lithuania English Malaysia English Mauritius English Mauritius français (Maurice) Mexico Español Mexico English Moldova Română Moldova English Mongolia English Morocco English Morocco Français Mozambique Português Mozambique English Netherlands Nederlands Netherlands English New Zealand English Nigeria English Norway English Oman English Pakistan English Paraguay Español Paraguay English Peru Español Peru English Philippines English Poland Polski Poland English Portugal Português Portugal English Qatar English Republic of Korea 한국어 Republic of Korea English Romania Română Romania English Saudi Arabia English Serbia Српски Serbia English Singapore English Slovakia English Slovenia English South Africa English Spain English Spain Español Sri Lanka English Sweden English Switzerland Deutsch Switzerland Français Switzerland Italiano Switzerland English Tanzania English Thailand ไทย Thailand English Togo English Togo Français Tunisia English Tunisia Français Türkiye Türkçe Türkiye English Turkmenistan Русский Turkmenistan English Ukraine Українська Ukraine English United Arab Emirates English United Kingdom English Uruguay Español Uruguay English USA English Uzbekistan English Uzbekistan Русский Vietnam Tiếng Việt Vietnam English

Oil Source Biomarker Testing: Analytical Methods, Key Parameters, and Applications in Petroleum Geoc

Oil source biomarker testing identifies the molecular fingerprints preserved in crude oils and source rock extracts, revealing the origin of organic matter, thermal maturity, depositional environment, and genetic relationships between samples. Using gas chromatography–mass spectrometry (GC-MS and GC-MS/MS), accredited third-party laboratories provide quantitative biomarker data that support oil-source correlation, reservoir evaluation, and environmental forensics. This guide explains the tested sample types, key biomarker parameters, analytical procedures, applicable standards, and practical applications of oil-based source biomarker detection.

Technical Overview

Biomarkers, often called molecular fossils, are geochemical compounds inherited from the lipid membranes and cell structures of ancient organisms. Because their carbon skeletons remain chemically stable through petroleum generation, migration, and accumulation, biomarkers retain a durable record of the biological source, sedimentary conditions, and thermal history of the oil. Oil source biomarker detection uses high-resolution chromatographic and mass spectrometric techniques to measure these compounds in crude oils, condensates, and rock extracts, enabling geoscientists to perform oil-source correlation, classify oil families, assess maturity, and reconstruct the depositional environment of the source kitchen.

The most diagnostic biomarker groups include acyclic isoprenoids, tricyclic and pentacyclic terpanes (hopanes), regular and rearranged steranes, aromatic steroids, and diamondoids. Each family carries distinct genetic information: for example, the relative abundance of C27, C28, and C29 steranes reflects the type of organism contributing organic matter, while the pristane/phytane ratio indicates the redox conditions of the depositional environment. Quantitative biomarker ratios therefore serve as the foundation of modern petroleum system analysis.

Testing Samples

Crude Oil and Condensate Samples

Produced crude oil, wellhead samples, and formation test fluids are the most common sample types. Oils ranging from light condensates to heavy biodegraded crudes can be analyzed, although severely altered oils may require specialized methods targeting the most resistant biomarkers. Typical requirements are 5–20 mL of oil per sample, with sufficient volume reserved for quality control and replicate analysis.

Source Rock Extracts

Potential or effective source rock samples—shales, mudstones, marls, and carbonates—are pulverized and extracted with organic solvents (Soxhlet or accelerated solvent extraction) to obtain the bitumen fraction. These extracts are analyzed with the same biomarker workflow as crude oils so that direct oil-source correlation can be performed. Kerogen concentrates and pyrolysates may also be prepared when extractable organic matter is insufficient.

Oily Cuttings, Cores, and Oil-Stained Reservoir Samples

Drill cuttings, sidewall cores, conventional cores, and oil-stained reservoir rock are washed, sieved, and solvent-extracted to recover reservoired hydrocarbons. These samples are invaluable when no produced oil is available, such as during wildcat exploration or when evaluating shows and fluorescence anomalies.

Oil Seeps, Oil Sands, and Environmental Forensic Samples

Natural oil seeps, tar sands, bitumen-impregnated sediments, and suspected spill residues can be characterized for source attribution. In environmental forensics, biomarker fingerprints provide legally defensible evidence for matching spilled oil to its source and for distinguishing petrogenic from biogenic hydrocarbons.

Testing Items

Oil source biomarker detection typically covers the saturated and aromatic hydrocarbon fractions, with the following compound classes and parameters:

  • Normal alkanes and acyclic isoprenoids: n-alkane distribution, carbon preference index (CPI/OEP), pristane/phytane (Pr/Ph) ratio, Pr/nC17 and Ph/nC18 cross-plot parameters.
  • Terpanes: C19–C29 tricyclic terpanes, C24 tetracyclic terpane, C27 Ts and Tm, C29 norhopane, C30 hopane, C29 and C30 moretanes, C31–C35 homohopanes with 22S/22R epimer ratios, and gammacerane.
  • Steranes: regular C27–C29 steranes (ααα and αββ series, 20S/20R epimers), rearranged diasteranes, C30 propylsteranes, and 4-methylsteranes.
  • Aromatic biomarkers: monoaromatic and triaromatic steroids, phenanthrene and methylphenanthrene series (MPI-1 maturity index), dibenzothiophene and methyldibenzothiophenes (MDR), retene and cadalene for terrestrial input indicators.
  • Diamondoids: adamantane and diamantane concentrations, methyladamantane index (MAI) and methyldiamantane index (DAI) for high-maturity and light-oil/condensate evaluation.
  • Derived geochemical ratios: Ts/(Ts+Tm), C29 sterane 20S/(20S+20R), C29 ββ/(ββ+αα), moretane/(moretane+hopane), gammacerane index, C35/C34 homohopane ratio, C27–C29 sterane ternary distribution, and DBT/P (dibenzothiophene/phenanthrene) ratio.

Testing Methods

Sample Preparation and Fractionation

Rock samples are cleaned, crushed, and Soxhlet-extracted or extracted by accelerated solvent extraction using dichloromethane/methanol mixtures to obtain soluble bitumen. Asphaltenes are precipitated with n-hexane, and the maltene fraction is separated by silica–alumina column chromatography into saturated, aromatic, and polar (NSO) fractions. Crude oils are deasphaltened and fractionated directly. Each fraction is concentrated under nitrogen and spiked with appropriate internal standards before instrumental analysis.

GC-MS and GC-MS/MS Analysis

Whole-oil or whole-extract gas chromatography with flame ionization detection (GC-FID) first characterizes the n-alkane and isoprenoid distribution. The saturated fraction is then analyzed by gas chromatography–mass spectrometry in selected ion monitoring (SIM) mode, typically monitoring m/z 191 for terpanes, m/z 217 and 218 for steranes, and m/z 85 for n-alkanes. Aromatic fractions are scanned across characteristic ions for aromatic steroids and polycyclic aromatic hydrocarbons. For trace-level or severely biodegraded samples, triple-quadrupole GC-MS/MS in multiple reaction monitoring (MRM) mode—such as transitions 412→191 for C30 hopane and 400→217 for C29 steranes—provides dramatically higher selectivity and sensitivity. Diamondoid analysis employs high-temperature GC-MS of the saturated fraction or dedicated light-hydrocarbon procedures.

Quality Control and Data Reporting

Accredited third-party laboratories follow documented procedures consistent with recognized standards, including GB/T 18606 for GC-MS biomarker analysis of sedimentary organic matter and crude oil, ASTM D5739 for oil spill source identification by GC and low-resolution mass spectrometry, and EPA-style GC-MS quality assurance protocols. Each analytical batch includes method blanks, duplicate analyses, calibrated internal standards, and reference oils to verify retention time stability and response reproducibility. Final deliverables typically include total ion and extracted ion chromatograms (m/z 191, 217, 218), annotated peak identifications, absolute and relative concentrations, a full table of calculated biomarker ratios, and interpretive commentary on source, maturity, and correlation.

Applications

Oil source biomarker data underpin a wide range of exploration, development, and environmental decisions:

  • Oil-source correlation: matching crude oils to their generative source rock to delineate effective kitchen areas and charge pathways within a petroleum system.
  • Oil-oil correlation and oil family classification: grouping oils from different reservoirs and blocks to identify common sources and guide regional exploration strategy.
  • Thermal maturity assessment: applying sterane and terpane epimer ratios, methylphenanthrene indices, and diamondoid parameters to estimate the maturity of both oil and source rock.
  • Depositional environment reconstruction: using Pr/Ph, gammacerane, homohopane distributions, and DBT/P ratios to distinguish marine, lacustrine, and swamp-type source settings and to infer salinity and redox conditions.
  • Organic matter input characterization: quantifying algal versus higher-plant contributions through C27–C29 sterane distributions and terrestrial markers such as retene and diterpanes.
  • Biodegradation evaluation: staging alteration levels and tracking the progressive removal of n-alkanes, isoprenoids, steranes, and hopanes, aided by 25-norhopane identification.
  • Reservoir connectivity and filling history: comparing biomarker fingerprints of oils from different pay zones to assess compartmentalization and charging sequences.
  • Environmental forensics: providing defensible source attribution for oil spills, contaminated sites, and disputed discharges through multi-parameter fingerprint matching.

FAQ

How much sample is required for oil source biomarker testing?

For liquid crude oil, 5–20 mL is generally sufficient. For rock samples, 30–100 g of finely crushed source rock is recommended to yield adequate extractable organic matter, with the actual requirement depending on total organic carbon and generative potential.

Can heavily biodegraded oils still be analyzed?

Yes. Although biodegradation preferentially removes n-alkanes and isoprenoids, geologically stable compounds such as hopanes, steranes, 25-norhopanes, and diamondoids persist. GC-MS/MS in MRM mode extends reliable detection even to severely altered heavy oils and bitumens.

What standards govern the analysis?

Commonly applied references include GB/T 18606 for biomarker analysis of sedimentary organic matter and crude oil by GC-MS, ASTM D5739 for oil spill identification, and ISO/IEC 17025 general requirements for laboratory competence. Accredited third-party laboratories structure their internal procedures around these frameworks.

What is the difference between GC-MS SIM and GC-MS/MS MRM analysis?

GC-MS in selected ion monitoring records all ions of a target mass and is suitable for most conventional oils. GC-MS/MS in multiple reaction monitoring monitors a precursor-to-product transition, eliminating coelution interference and improving sensitivity by one to two orders of magnitude—essential for low-biomarker condensates, contaminated extracts, and heavily biodegraded samples.

How are results reported and interpreted?

Deliverables include chromatograms, peak tables with compound identifications, absolute concentrations (μg/g oil or μg/g extract) and relative percentages, calculated geochemical ratios, and interpretive conclusions covering source input, depositional environment, maturity, alteration level, and correlation outcomes.

What is the typical turnaround time?

Standard biomarker screening of a batch of samples is generally completed within 10–15 working days after sample receipt; larger programs involving GC-MS/MS, diamondoid analysis, or extensive interpretation may require additional time.

Why Choose ZKGX?

  • State-of-the-art analytical equipment
  • Highly qualified scientific team
  • Fast turnaround time
  • Competitive pricing