Biochemical conversion of crude oils is a multi-step process proceedin
g through a series of biochemical reactions. These reactions can be ch
aracterized by a set of chemical markers which are associated with the
chemical composition of crude oils. Reactions with heavy crude oils i
ndicate that there is an overall decrease in the concentration and che
mical speciation of organic sulfur compounds, and a redistribution of
hydrocarbons and organometallic species. The contents of trace metals
in the crude oils, such as nickel and vanadium, also decrease. Further
, heavy ends of crudes, containing the asphaltenes and the polar nitro
gen, sulfur, and oxygen containing fractions, as well as the organomet
allic compounds and complexes, are biochemically converted to lower mo
lecular weight chemical species. In the studies reported in this paper
, microorganisms used to mediate such reactions were thermophilic ( >
60 degrees C) and pressure tolerant (up to 2500 psi). These organisms
are also capable of biochemical conversion of bituminous and lignite c
oals in an analogous manner to their action on crude oils and follow s
imilar trends characterized by chemical markers. For example, X-ray ab
sorption near-edge structural (XANES) analyses of biotreated crude oil
s and low grade coals show that biochemical reactions lead to decrease
s in organic sulfides and thiophenes with a concurrent increase in sul
foxide contents. Chemically related constituents present in heavy crud
e oil fractions and low grade coals are the asphaltenes. Asphaltenes a
re complex structures containing heteroatoms and metals involved in in
ter- and intra-molecular bridges and stereochemical configurations. Th
e chemical markers associated with the biochemical conversion of oils
and coals indicate multiple biochemical processes involving chemical r
eactions at sites containing heteroatoms and metals leading to a break
down of the structure(s) to smaller molecular weight units. Thus, usin
g chemical markers as diagnostic tools, the extent and the efficiency
of fossil fuel bioconversion may be predicted and monitored, allowing
for better cost-efficient field trials. Recent results in this area wi
ll be presented and discussed in this paper.