Defoaming Agents for Increased Oil Production Rates of Foamy CrudesLaboratory Screening Tests and Field Results

1971 ◽  
Vol 23 (02) ◽  
pp. 233-238
Author(s):  
Steve Fallin ◽  
Shelby P. Sharp ◽  
Jim L. Wolfe
Energies ◽  
2020 ◽  
Vol 13 (8) ◽  
pp. 2052 ◽  
Author(s):  
Wardana Saputra ◽  
Wissem Kirati ◽  
Tadeusz Patzek

A recent study by the Wall Street Journal reveals that the hydrofractured horizontal wells in shales have been producing less than the industrial forecasts with the empirical hyperbolic decline curve analysis (DCA). As an alternative to DCA, we introduce a simple, fast and accurate method of estimating ultimate recovery in oil shales. We adopt a physics-based scaling approach to analyze oil rates and ultimate recovery from 14,888 active horizontal oil wells in the Bakken shale. To predict the Estimated Ultimate Recovery (EUR), we collapse production records from individual horizontal shale oil wells onto two segments of a master curve: (1) We find that cumulative oil production from 4845 wells is still growing linearly with the square root of time; and (2) 6401 wells are already in exponential decline after approximately seven years on production. In addition, 2363 wells have discontinuous production records, because of refracturing or changes in downhole flowing pressure, and are matched with a linear combination of scaling curves superposed in time. The remaining 1279 new wells with less than 12 months on production have too few production records to allow for robust matches. These wells are scaled with the slopes of other comparable wells in the square-root-of-time flow regime. In the end, we predict that total ultimate recovery from all existing horizontal wells in Bakken will be some 4.5 billion barrels of oil. We also find that wells completed in the Middle Bakken formation, in general, produce more oil than those completed in the Upper Three Forks formation. The newly completed longer wells with larger hydrofractures have higher initial production rates, but they decline faster and have EURs similar to the cheaper old wells. There is little correlation among EUR, lateral length, and the number and size of hydrofractures. Therefore, technology may not help much in boosting production of new wells completed in the poor immature areas along the edges of the Williston Basin. Operators and policymakers may use our findings to optimize the possible futures of the Bakken shale and other plays. More importantly, the petroleum industry may adopt our physics-based method as an alternative to the overly optimistic hyperbolic DCA that yields an ‘illusory picture’ of shale oil resources.


2021 ◽  
Vol 7 (3) ◽  
pp. 1-9
Author(s):  
Ministry of Oil / Oil Marketing Company SOMO

Table 1. Iraq Crude Oil Exports – January 2016 Table 2. Iraq Crude Oil Exports – February 2016Table 3. Iraq Crude Oil Exports – March 2016Table 4. Crude oil production rates and crude discharge for January/ 2016Table 5. Oil Production Rates for January/2016Table 6. Gas Production Activities, Types of Oils and Asphalt for January /2016Table 7 crude oil production rates and crude discharge for February / 2016Table 8 Oil Production Rates for February /2016 Table 9 Gas Production Activities, Types of Oils and Asphalt for February / 2016Table 10. Crude oil production rates and crude discharge for March / 2016Table 11. Oil Production Rates for March /2016Table 12.Gas Production Activities, Types of Oils and Asphalt for March / 2016


2016 ◽  
Vol 2016 ◽  
pp. 1-8 ◽  
Author(s):  
Mehmet Oz

This research was carried out to determine the rates of protein and oil production and fatty acid composition and their correlation coefficients in four safflower cultivars (Remzibey, Dincer, Balci, and Yenice) sown in the autumn and spring from 2013 to 2015. The experiment was carried out using split plots in a randomized block design and was replicated 3 times. The study found protein production rates between 15.20 and 18.08%, oil production rates between 24.58 and 31.99%, palmitic acid production rates between 5.93 and 7.01%, stearic acid production rates between 2.13 and 2.53%, oleic acid production rates between 12.08 and 31.58%, linoleic acid production rates between 78.61 and 59.08%, and linolenic acid production rates between 0.11 and 0.15%. Higher seed oil content values were obtained from spring sowing compared to autumn sowing (27.42% and 26.10%), and, in terms of both the evaluated sowing times and cultivars, the highest oil production rates were found in the Balci cultivar (32.20% and 31.78%) for both sowing times. It was determined that there is a positive and significant (r=0.476⁎⁎) relationship between oil with protein production rates but a negative and significant relationship between oil and linolenic acid production rates (r=-0.728⁎⁎). The oleic acid production rate was strongly negatively and significantly correlated with the linoleic acid production rate (r=-0.997⁎⁎).


2021 ◽  
Vol 7 (4) ◽  
pp. 1-8
Author(s):  
Ministry of Oil / Oil Marketing Company SOMO

Table (1) Iraq Crude Oil Exports April 2016 Table (2) Iraq Crude Oil Export- May /2106 Table (3) Iraq Crude Oil Exports June 2016 Table (4) crude oil production rates and crude discharge for April / 2016 Table (5) Oil Production Rates for April /2016 Table (6) crude oil production rates and crude discharge for May / 2016 Table (7) Oil Production Rates for May /2016 Table (8) crude oil production rates and crude discharge for June / 2016 Table (9) Oil Production Rates for June /2016 Table (10) Gas Production Activities, Types of Oils and Asphalt for April / 2016 Table (11) Gas Production Activities, Types of Oils and Asphalt for May / 2016 Table (12) Gas Production Activities, Types of Oils and Asphalt for June / 2016    


2016 ◽  
Vol 6 (2) ◽  
pp. 1-8
Author(s):  
Ministry of Oil / Oil Marketing Company IRAQ

Table 1.Iraq Crude Oil Exports – October 2015 Table 2.Iraq Crude Oil Exports – November 2015Table 3.Iraq Crude Oil Exports – December 2015Table 4. Gas production Activities , Types of Oils and Asphalt for October 2015 Table 5. Production and Types of Oils and Asphalt for November 2015Table 6. Production and Types of Oils and Asphalt for December 2015Table 7. crude oil production rates and crude discharge for November / 2015Table 8. Oil Production Rates for November /2015Table 9. crude oil production rates and crude discharge for December / 2015Table 10. Oil Production Rates for December /2015


2020 ◽  
Vol 142 (5) ◽  
Author(s):  
Youwei He ◽  
Shiqing Cheng ◽  
Zhe Sun ◽  
Zhi Chai ◽  
Zhenhua Rui

Abstract Well production rates decline quickly in the tight reservoirs, and enhanced oil recovery (EOR) is needed to increase productivity. Conventional flooding from adjacent wells is inefficient in the tight formations, and Huff-n-Puff also fails to achieve the expected productivity. This paper investigates the feasibility of the inter-fracture injection and production (IFIP) method to increase oil production rates of horizontal wells. Three multi-fractured horizontal wells (MFHWs) are included in a cluster well. The fractures with even and odd indexes are assigned to be injection fractures (IFs) and recovery fractures (RFs). The injection/production schedule includes synchronous inter-fracture injection and production (s-IFIP) and asynchronous inter-fracture injection and production (a-IFIP). The production performances of three MFHWs are compared by using four different recovery approaches based on numerical simulation. Although the number of RFs is reduced by about 50% for s-IFIP and a-IFIP, they achieve much higher oil rates than depletion and CO2 Huff-n-Puff. The sensitivity analysis is performed to investigate the impact of parameters on IFIP. The spacing between IFs and RFs, CO2 injection rates, and connectivity of fracture networks affect oil production significantly, followed by the length of RFs, well spacing among MFHWs, and the length of IFs. The suggested well completion scheme for the IFIP methods is presented. This work discusses the ability of the IFIP method in enhancing the oil production of MFHWs.


2014 ◽  
Author(s):  
Chanseok Jeong ◽  
Loukas F. Kallivokas ◽  
Chun Huh ◽  
Larry W. Lake

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