scholarly journals Simultaneous Experimental Analysis of Oil Content And Molecular Composition of Shale Fractions

2022 ◽  
Author(s):  
Bowei Zhang ◽  
Juhe Zhang
Keyword(s):  
Heavy Oil ◽  
Experimental Analysis ◽  
Oil Content ◽  
Diesel Oil ◽  
Parent Material ◽  
Molecular Composition ◽  
Shale Oil ◽  
External Standard Method ◽  
Light Components ◽  
Exploration And Development

Abstract The important research content and basis of exploration and development is to evaluate the reservoir property, oil bearing property, fluidity and compressibility of shale reservoir.The key of exploration and development is to evaluate the oil-bearing and fluidity of shale reservoir.In this paper, the "shale oil content and fine components synchronous experimental analysis device" is used. Five temperature ranges of 30 ℃-90 ℃, 90 ℃-150 ℃, 100 ℃- 200 ℃, 150 ℃-250 ℃ and 250 ℃-300 ℃ were adopted. The heating rate of each temperature segment was 25 ℃ / min, and the final temperature was kept constant for 5 min. The oil content of shale (pyrolysis S1) was cut into five fractions.Simultaneous determination of oil content and molecular composition of shale fractions,and the external standard method was used to evaluate the oil content and fluidity.The results show that the five fractions of shale are mainly composed of nC1-nC9 gas, nC10-nC15 gasoline, nC12-nC20 kerosene, nC15-nC22 diesel oil and nC18-nC26 heavy oil of the first member of Qingshangkou formation in Songliao basin.There are differences in the fractionation and oil content characteristics of samples with different maturity in different wells.The parent material, properties and quality of crude oil are reflected in shale. The higher the maturity of shale oil is, the more light components are, the larger the light / heavy ratio parameter value of (gasoline + kerosene + diesel) and heavy oil is, the better the fluidity is, and the easier to exploit effectively.

DEVELOPMENT OF OIL SPILL RECOVERY SHIP

1977 ◽  
Vol 1977 (1) ◽  
pp. 367-374
Author(s):  
Shoji Uchida ◽  
Hiroshi Takeshita ◽  
Yajuro Seike
Keyword(s):  
Film Thickness ◽  
Oil Spill ◽  
Heavy Oil ◽  
Oil Content ◽  
Design Concept ◽  
Hydraulic Fluid ◽  
Basic Design ◽  
Recovery System ◽  
Oil Water ◽  
Potential Customers

ABSTRACT A compact oil spill recovery system made up of a special oil suction float, an eductor-driven hydraulic fluid conveying unit, an oil/water separating unit, etc., was devised to the basic design concept of the previously-developed Mitsubishi hydraulic tanker desludging system and installed in a small, self-propelled, twin-hull craft. A 9.60 m long, 4.10 m wide, and 1.40 m deep experimental oil spill recovery ship completed in this manner successfully cleaned up a slick of heavy oil, 7 m × 30 m in area and 0.7 – 2.0 mm in film thickness, in less than three minutes at 0.5 – 1.0 kt and proved very stable, steerable, and easy to operate. Oil content of water at the outlet of the oil/water separating unit was less than 1 ppm. A range of oil spill recovery ships have since been designed, fully weighing opinions of potential customers as regards such items as economy of operation, and capacity.

Oil content prediction of lacustrine organic-rich shale from wireline logs: A case study of intersalt reservoirs in the Qianjiang Sag, Jianghan Basin, China

2020 ◽  
Vol 8 (3) ◽  
pp. SL79-SL88
Author(s):  
Xin Nie ◽  
Jing Lu ◽  
Roufida Rana Djaroun ◽  
Peilin Wang ◽  
Jun Li ◽  
...  
Keyword(s):  
Experimental Data ◽  
Oil Content ◽  
Pore Space ◽  
Oil Reservoirs ◽  
Fluid Distribution ◽  
Shale Oil ◽  
Oil Saturation ◽  
Archie’S Law ◽  
The Core ◽  
Shale Oil Reservoirs

Shale oil is an unconventional oil resource with great potential. Oil saturation ([Formula: see text]) is an essential parameter for formation evaluation. However, due to the complexity of matrix mineral components and pore structure, Archie’s law cannot be used directly to calculate [Formula: see text] in shale oil reservoirs. We have developed a new saturation model for shale oil reservoirs. This model allows us to separate the organic from the inorganic pores, eliminate the background conductivity mainly caused by the borehole fluid or conductive minerals and determine the effective conductive porosity, which rules out nonconductive porosity, including isolated pores and the pore space affected by the fluid distribution. By analyzing the logging and core experimental data from the Qianjiang Sag, Jianghan Oilfield, we found that the T2 cutoff porosities of nuclear magnetic resonance logging are strongly related to the nonconductive porosities. After we determine the T2 cutoff value using the core experimental data, we can use it to obtain nonconductive porosity fraction in each depth point, which allows us to efficiently calculate [Formula: see text]. We calculate oil saturation values and use them to estimate the oil content. The results are coherent with the core experimental data, which indicates the efficiency of this model.

Technology and Application of Oil Sludge Pyrolysis in Rotary Furnace

2011 ◽  
Vol 130-134 ◽  
pp. 2371-2378 ◽  
Author(s):  
Wan Fu Wang ◽  
Wei Dong Du ◽  
Lin Tang ◽  
Peng Liu
Keyword(s):  
Moisture Content ◽  
Oil Content ◽  
Rotary Furnace ◽  
Diesel Oil ◽  
Oil Sludge ◽  
Aluminum Salt ◽  
Pyrolysis Oil ◽  
Technical Process ◽  
Complete Set ◽  
Main Components

Technology of pyrolysis rotary furnace for oil sludge was conducted in this paper, which feature with natural gas as fuel, multi-combuster for heating controlling and novel dynamic-static sealing structure at both ends of the rotary furnace. A complete set of technical process was designed and operated with processing scale of 10 tons/day of oil sludge (The sludge moisture content is 80%). The result indicates that the system meets the standard of safe running. Recovery rate of the oil in sludge is more than 80%, while the oil content of pyrolytic residues is less than 0.3%. The main components of non-condensable gas include methane and hydrogen, occupying 35% and 40% respectively. There are high content of lightweight fractions in pyrolysis oil, such as gasoline, kerosene and diesel oil, in which the C10-C15 is near to 50%-60% and aromatics can be up to 60％. Finally, due to the high contents of carbon and aluminum salt in residue, it is much worth for the carbon and aluminum salt recovery.

scholarly journals Enrichment Factors and Resource Potential Evaluation of Qingshankou Formation Lacustrine Shale Oil in the Southern Songliao Basin, NE China

Geofluids ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-20
Author(s):  
Long Luo ◽  
Dongping Tan ◽  
Xiaojun Zha ◽  
Xianfeng Tan ◽  
Jing Bai ◽  
...  
Keyword(s):  
Three Dimensional ◽  
Well Logging ◽  
Enrichment Factors ◽  
Songliao Basin ◽  
Hydrocarbon Generation ◽  
Shale Oil ◽  
Resource Potential ◽  
Potential Evaluation ◽  
Lacustrine Shale ◽  
Exploration And Development

China shale oil, which is preserved in lacustrine shale with strong heterogeneity and relatively low maturity, has been a research hotspot of unconventional resources. However, controlling factors of shale oil enrichment and resource potential evaluation restricted efficient exploration and development of lacustrine shale oil. On the basis of well logging data, TOC content, Rock-Eval pyrolysis values, thermal maturity, 100 oil saturation data, and pressure coefficient, the core observation, X-ray diffraction analysis, physical property analysis, scanning electron microscopy, CT scan, well logging interpretation, and volumetric genesis method depending on three-dimensional geological modeling were used to determine enrichment factors and evaluate the resource potential of Qingshankou Formation shale oil in the Southern Songliao Basin. Shale oil was mainly enriched in the semideep and deep lake shale of K2qn1, with the high capacity of hydrocarbon generation and favorable petrological and mineralogical characteristics, pore space characteristics, and physical properties in the low structural part of the Southern Songliao Basin. The three-dimensional geological resource model of Qingshankou Formation lacustrine shale oil was determined by the key parameters (Ro, TOC, and S 1 ) of shale oil in the favorable zone of the Southern Songliao Basin, northeast China. The geological resource of shale oil, which was calculated by two grid computing methods ( F 1 and F 2 ), was, respectively, 1.713 × 10 12   kg and 1.654 × 10 12   kg . The great shale oil resource indicates a promising future in the exploration and development of Qingshankou Formation shale oil of the Southern Songliao Basin.

Producibility and commerciality of shale resource systems: contrasting geochemical attributes of shale gas and shale oil systems

2013 ◽  
Vol 53 (2) ◽  
pp. 469
Author(s):  
Basim Faraj ◽  
Daniel Jarvie
Keyword(s):  
Shale Gas ◽  
Oil Content ◽  
Storage Conditions ◽  
Core Sample ◽  
Shale Oil ◽  
Hydrocarbon Recovery ◽  
The Past ◽  
Gas Shales ◽  
Early Exploration ◽  
Original Oil In Place

Increasing the producibility of petroleum from shale is a key challenge for this decade and beyond. While understanding of producing petroleum from shales has advanced rapidly during the past decade, many unknowns remain. In addition, fundamental differences remain between high-thermal maturity shale gas systems (gas-window shales) and oil-window shales. Although it is shown that oil is produced from the shale matrix similar to gas shales, it is not known what improvement to recovery factors should be expected due to the fundamental differences and uniqueness of shale oil systems. Some of the challenges in early exploration of shales in the oil window are related to the loss of oil from rock samples (cuttings, core), sample processing, storage conditions, sample preparation, oil type, API gravity, gas-oil ratio (GOR), rock lithofacies, and analytical conditions. It is shown that old cuttings may lose up to 300% of their free oil content simply due to evaporation, even in tight shale with black oil having a GOR of about 500 scf/bbl. When cuttings are compared with RSWC or core chips, the loss increases to almost 500%. Projection of oil content to match measured GOR values of oils or even extracts of organic-rich tight shales allows prediction of this oil loss—this impacts calculations of original oil in place (OOIP) and, hence, hydrocarbon recovery estimates from such systems.

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