Comparison of Fischer Assay Data Generated by Four Laboratories

1980 ◽  
Vol 17 (1) ◽  
pp. 13-21
Author(s):  
C. William Keighin

Inter- and intra-laboratory comparison of Fischer assay data and testing of these data by correlation analysis indicate good correlation but varied amounts of scatter in the data. The scatter seems to be due to both mechanical and analytical factors; it is possible that non-uniform sample preparation is a dominant factor in causing scatter, but variable analytical results are also apparent. The range in precision of the Fischer assay data is generally small and probably does not seriously affect the accuracy of the calculated shale-oil resources. It is highly desirable to have an accurate and uniform assay method to determine the oil yield of oil shales. If inter- or intra-laboratory precision is to be maintained, it is imperative that sample preparation and analytical conditions are uniform and closely supervised.

2015 ◽  
Vol 70 (3) ◽  
pp. 183-190 ◽  
Author(s):  
A. V. Stupakova ◽  
G. A. Kalmykov ◽  
N. P. Fadeeva ◽  
A. Kh. Bogomolov ◽  
T. A. Kiryukhina ◽  
...  
Keyword(s):  

2015 ◽  
Vol 89 (s1) ◽  
pp. 12-12
Author(s):  
Weitao CHEN ◽  
Zhenxue JIANG ◽  
Siyuan SU ◽  
Lei CHEN ◽  
Wenming JI

Fact Sheet ◽  
2011 ◽  
Author(s):  
Christopher J. Schenk ◽  
Mark A. Kirschbaum ◽  
Ronald R. Charpentier ◽  
Troy Cook ◽  
Timothy R. Klett ◽  
...  
Keyword(s):  

2020 ◽  
Vol 38 (4) ◽  
pp. 841-866
Author(s):  
Qiulin Guo ◽  
Xiaoming Chen ◽  
Xiaoxue Liuzhuang ◽  
Zhi Yang ◽  
Man Zheng ◽  
...  

The widely distributed, thick Chang 7 Shale is the richest shale oil formation in China. A calculation method for the evaporative hydrocarbon recovery coefficient based on formation volume factor is proposed considering the correction of heterogeneity-based total organic carbon differences to improve the adsorbed oil calculation method, and light hydrocarbon evaporative sampling losses, which can make mobile and total oil calculations more accurate. The adsorbed oil, S1 evaporative loss, total oil yield, and movable oil yield of 200 shale samples from the Chang 7 Member were calculated using the new methods. Results show that S1 evaporative loss accounts for 29% of S1, total oil yield is 3.5 times S1, and movable oil yield accounts for 37% of total oil yield. Based on the calculated total oil yield and movable oil yield results, the relationships among total oil yield, movable oil yield, and total organic carbon of the Chang 7 were established yielding total oil yield and movable oil yield estimates of 11.12 × 109 t and 4.01 × 109 t, respectively, revealing its tremendous shale exploration potential.


1969 ◽  
Vol 9 (03) ◽  
pp. 287-292 ◽  
Author(s):  
J.H. Bae

Abstract A series of batch-type retorting experiments 930 degrees F were performed to investigate the effect of pressure and surrounding atmosphere on the retorting of oil shale. The experimental pressure ranged from atmospheric to 2,500 psig. pressure ranged from atmospheric to 2,500 psig. The sweeping gases used were N2, COe, H2O, NH3 and H2. We found that high pressure reduces the oil yield significantly and produces a larger volume of light hydrocarbon gases. The crude shale oil obtained at high pressure has higher aromaticity and a lower pour point than the low pressure material. The sulfur pour point than the low pressure material. The sulfur and nitrogen content in shale oil does not change significantly with increasing pressure. The effect of sweeping gas is usually small. In general, gases which decompose to yield H2 increase the oil yield at high pressure. At atmospheric pressure there is no effect. The high oil yield with H2, pressure there is no effect. The high oil yield with H2, more than 100 percent of the Fischer Assay, reported on "hydrotorting" experiments was not observed in this work. Introduction The in-situ retorting of oil shale has attracted much interest because it obviates the troublesome problem in surface retorting of mining, crushing and problem in surface retorting of mining, crushing and handling a large quantity of oil shale. The cost of these operations in the surface retorting process amounts to more than half the total production cost of shale oil. From an economic point of view, the recovery of shale oil by in-situ methods is highly desirable At present in--situ retorting is accomplished by combustion or hot gas injection, following conventional hydraulic fracturing. Explosive fracturing also has been studied. While these methods of fracturing are promising, there is still much uncertainty associated with them. On the other hand, even if an adequate mass permeability could be created, the high pressures encountered at depths of several thousand feet where oil shale commonly existwould certainly affect the thermal decomposition of oil shale. Thomas has experimentally simulated the effects of overburden pressure on the physical and mechanical properties of oil shale during underground retorting. Allred and Nielson studied the effect of pressure in reverse combustion on the yield and pressure in reverse combustion on the yield and quality of oil produced. These results are fragmentary and are applicable only to reverse combustion. Grant reported an oil yield of 35 to 40 percent of the Fischer Assay was obtained in a laboratory forward combustion experiment at 500 psig. We decided to investigate the effect of pressure on oil shale retorting because so little information was available on subjects. We sought to determine me effects of fluid pressure and surrounding atmosphere on the quantity and quality of products obtained from retorting oil slide. Results of a series of batch-type retorting experiments are reported. EXPERIMENTAL EQUIPMENT A schematic drawing of the retorting and product-collecting system is shown in Fig. 1. The pump product-collecting system is shown in Fig. 1. The pump delivers the sweeping gas at a constant rate to the retorting unit, which is maintained at the experimental pressure. The gas purged from the unit passes through pressure. The gas purged from the unit passes through a glass adapter to a centrifuge tube that is cooled by an ice-salt mixture. The gases are cooled further in the condenser that is kept at 32 degrees F and then sampled, measured through a wet-test meter, and vented. The retorting unit is an Autoclave single-ended reactor of 2–3/16-in. ID and 8–1/4-in. inside depth, rated 3,000 psi at 1000 degree F. SPEJ P. 287


1995 ◽  
Vol 78 (3) ◽  
pp. 883-887 ◽  
Author(s):  
Elaine A Bunch ◽  
Diane M Altwein ◽  
Lloyd E Johnson ◽  
Joyce R Farley ◽  
Amy A Hammersmith

Abstract Sample homogeneity is critical to accurate and reproducible analysis of trace residues in foods. A method of uniform sample preparation using dry ice is described for shrimp. Other sample preparation techniques for raw shrimp produce nonhomogeneous samples. Sample homogeneity was determined through analysis of chloramphenicol added to intact tiger or white shrimp prior to sample preparation. Simulated chloramphenicol residue levels were 50, 15, 10, and 5 ppb. No significant differences were noted when analyses of shrimp inoculated with chlor-amphenicol prior to sample preparation with dry ice were compared with analyses of shrimp spiked after grinding with dry ice. Grinding shrimp with dry ice produced samples with homogeneous chloramphenicol residues. This technique should be applicable to other tissues and vegetable products.


2017 ◽  
Vol 188 (5) ◽  
pp. 33 ◽  
Author(s):  
Marc Blaizot

Global inventory of shale-oil resources and reserves are far from being complete even in mature basins which have been intensively drilled and produced and in which the main parameters of the regional or local oil-prone source rocks are known. But even in these cases, difficulties still occur for deriving reserves from resources: reaching a plausible recovery factor is actually a complex task because of the lack of production history in many shale-oil ventures. This exercise is in progress in several institutions (EIA, USGS, AAPG) or private oil and gas companies on a basin-by-basin basis in order to estimate the global potential. This analytical method is very useful and accurate but also very time consuming. In the last EIA report in 2013 “only” 95 basins had been surveyed whereas for example, no Middle-East or Caspian basins have been taken into account. In order to accelerate the process and to reach an order of magnitude of worldwide shale-oil reserves, we propose hereafter a method based on the Petroleum System principle as defined by Demaison and Huizinga (Demaison G and Huizinga B. 1991. Genetic classification of Petroleum Systems. AAPG Bulletin 75 (10): 1626–1643) and more precisely on the Petroleum System Yield (PSY) defined as the ratio (at a source-rock drainage area scale) between the accumulated hydrocarbons in conventional traps (HCA) and hydrocarbons generated by the mature parts of the source-rock (HCG). By knowing the initial oil reserves worldwide we can first derive the global HCA and then the HCG. Using a proxy for amount of the migrated oil from the source-rocks to the trap, one can obtain the retained accumulations within the shales and then their reserves by using assumptions about a possible average recovery factor for shale-oil. As a definition of shale-oil or more precisely LTO (light tight oil), we will follow Jarvie (Jarvie D. 2012. Shale resource systems for oil & gas: part 2 – Shale Oil Resources Systems. In: Breyer J, ed. Shale Reservoirs. AAPG, Memoir 97, pp. 89–119) stating that “shale-oil is oil stored in organic rich intervals (the source rock itself) or migrated into juxtaposed organic lean intervals”. According to several institutes or companies, the worldwide initial recoverable oil reserves should reach around 3000 Gbo, taking into account the already produced oil (1000 Gbo) and the “Yet to Find” oil (500 Gbo). Following a review of more than 50 basins within different geodynamical contexts, the world average PSY value is around 5% except for very special Extra Heavy Oils (EHO) belts like the Orinoco or Alberta foreland basins where PSY can reach 50% (!) because large part of the migrated oils have been trapped and preserved and not destroyed by oxidation as it is so often the case. This 50% PSY figure is here considered as a good proxy for the global amount of expelled and migrated oil as compared to the HCG. Confirmation of such figures can also be achieved when studying the ratio of S1 (in-place hydrocarbon) versus S2 (potential hydrocarbons to be produced) of some source rocks in Rock-Eval laboratory measurements. Using 3000 Gbo as worldwide oil reserves and assuming a quite optimistic average recovery factor of 40%, the corresponding HCA is close to 7500 Gbo and HCG (= HCA/PSY) close to 150 000 Gbo. Assuming a 50% expulsion (migration) factor, we obtain that 75 000 Gbo is trapped in source-rocks worldwide which corresponds to the shale-oil resources. To derive the (recoverable) reserves from these resources, one needs to estimate an average recovery factor (RF). Main parameters for determining recovery factors are reasonable values of porosity and saturation which is difficult to obtain in these extremely fine-grained, tight unconventional reservoirs associated with sampling and laboratories technical workflows which vary significantly. However, new logging technologies (NMR) as well as SEM images reveal that the main effective porosity in oil-shales is created, thanks to maturity increase, within the organic matter itself. Accordingly, porosity is increasing with Total Organic Carbon (TOC) and paradoxically with… burial! Moreover, porosity has never been water bearing, is mainly oil-wet and therefore oil saturation is very high, measured and calculated between 75 and 90%. Indirect validation of such high figures can be obtained when looking at the first vertical producing wells in the Bakken LTO before hydraulic fracturing started which show a very low water-cut (between 1 and 4%) up to a cumulative oil production of 300 Kbo. One can therefore assume that the highest RF values of around 10% should be used, as proposed by several researchers. Accordingly, the worldwide un-risked shale-oil reserves should be around 7500 Gbo. However, a high risk factor should be applied to some subsurface pitfalls (basins with mainly dispersed type III kerogen source-rocks or source rocks located in the gas window) and to many surface hurdles caused by human activities (farming, housing, transportation lines, etc…) which can hamper developments of shale-oil production. Assuming that only shale-oil basins in (semi) desert conditions (i.e., mainly parts of Middle East, Kazakstan, West Siberia, North Africa, West China, West Argentina, West USA and Canada, Mexico and Australia) will be developed, a probability factor of 20% can be used. Accordingly, the global shale-oil reserves could reach 1500 Gbo which is half the initial conventional reserves and could therefore double the present conventional oil remaining reserves.


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