Possible Applications of MEOR to the Arab Oil Fields

Sayyouh, M.H.; Al-Blehed, M.S.; Hemeida, Adel M.

doi:10.1016/s1018-3639(18)30585-3

Cited by 4 publications

(3 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Indeed, MEOR efficiency depends on many factors, but the reservoir’s salinity, temperature, and pH correspond to the most important ones. For instance, according to Sayyouh et al 23 , in most reservoir selection criteria, the upper limit of salinity measured as a total dissolved solids (TDS) was 100,000 ppm. Meanwhile, She et al 2 reported that two microorganisms isolated from the produced fluid grew well in the salinity range from 100,000 to 200,000 ppm.…”

Section: Discussionmentioning

confidence: 99%

Biosurfactant and biopolymer producing microorganisms from West Kazakhstan oilfield

Shaimerdenova,

Kaiyrmanova,

Lewandowska

et al. 2024

Sci Rep

View full text Add to dashboard Cite

Microbiological enhanced oil recovery (MEOR) uses indigenous or exogenous microorganisms and nutrients to enhance oil production through synthesis of metabolites reducing oil viscosity and surface tension. In order to find bacteria suitable for MEOR, we studied 26 isolates from wells in the Akingen oilfield in West Kazakhstan. Six of them were selected for further analysis based on their ability to reduce surface tension to less than 40 mN/m, with the A9 isolate exhibiting tension reduction values of 32.76 ± 0.3 mN/m. Based on the morphological features, biochemical activities, and the 16S rRNA gene, the isolates were classified to the Bacillus subtilis group. In the phylogenetic analysis the isolates grouped into two main clusters. Genes encoding the surfactin synthetase subunits were found in A2, A8, A9, A12, PW2, only the PW2 strain had lchAA encoding lichenysin, while sacB encoding levan was noted in A2, A8, A9, and A12. The expression of srfAB, srfAC, and sacB tested with qPCR varied among strains. Nevertheless, whereas temperature moderately affects the expression level, with the highest level recorded at 40 °C, salinity significantly impacts the expression of the genes encoding biosurfactants. B. subtilis strains isolated in the study, especially A9, are promising for microbial-enhanced oil recovery.

show abstract

Section: Discussionmentioning

confidence: 99%

Biosurfactant and biopolymer producing microorganisms from West Kazakhstan oilfield

Shaimerdenova,

Kaiyrmanova,

Lewandowska

et al. 2024

Sci Rep

View full text Add to dashboard Cite

show abstract

“…Most of early studies in the EOR selection were to establish the technical screening criteria of each EOR method (El-Batanony et al, 1987;Sayyouh et. al., 1990 and1993;Shokir et al, 2002;Goda, et al 2002;Lee et al, 2011). Based on laboratory experiments and field experiences, the applicable ranges of the reservoir rock and fluid properties were presented in these studies.…”

Section: Introductionmentioning

confidence: 99%

Application of Using Fuzzy Logic as an Artificial Intelligence Technique in the Screening Criteria of the EOR Technologies

Nageh¹,

Ela

Tayeb

et al. 2015

Day 1 Mon, September 14, 2015

View full text Add to dashboard Cite

Screening criteria stage for the EOR applications is useful for many candidate reservoirs before expensive reservoir descriptions and economic evaluations are done. This paper presents the application of using fuzzy logic as an artificial intelligence technique in the screening criteria of the EOR technologies. EOR screening criteria have been developed based on field results. The database of 347 successful EOR projects worldwide is used to carry out statistical analysis which resulted in determination of four critical values (minimum, maximum, r1, r2) for each fluid and rock property.The determined values identify the suitable range of the rock and fluid properties and the screening criteria for each EOR method. In addition, these ranges can rate the properties of any field under study from 0 to 1 (through fuzzy logic membership functions). The minimum and the maximum values represent the successful boundaries of the fluid or rock properties for the studied EOR method; while r1 and r2 values represent the ranges with maximum rating (best conditions) for the fluid or the rock properties.Not all fields are amenable to EOR processes. Effective screening practices must be employed to identify suitable candidates. In the developed screening tool, there are 15 inputs representing EOR screening criteria of the reservoir rock and fluid properties including: API gravity, oil viscosity, reservoir depth, rock permeability, oil saturation, reservoir temperature, formation water salinity, net pay thickness, permeability variation coefficient (representing heterogeneity index), formation type, minimum miscibility pressure, initial reservoir pressure, current reservoir pressure, fracture pressure and an option showing if the reservoir is dip or not.The developed screening tool is characterized by an easily and friendly interface with additional options comparing to the other existing software or expert systems. The proposed tool can be used to support the decision making during the critical technology selection phase. Such study is an original contribution to achieve successful EOR applications.

show abstract

“…Sunde et al (1992) claim bacteria are more efficient than surfactants in oil production. Sayyouh et al (1993) list extensive laboratory investigations on this method in the Arab world. Brown et al (2000) use indigenous and injected bacteria in field tests.…”

Section: Introductionmentioning

confidence: 99%

Fundamental Study of Pore Scale Mechanisms in Microbial Improved Oil Recovery Processes

2011

View full text Add to dashboard Cite

A fundamental study of microscopic mechanisms and pore-level phenomena in the Microbial Improved Oil Recovery method has been investigated. Understanding active mechanisms to increase oil recovery is the key to predict and plan MIOR projects successfully. This article presents the results of visualization experiments carried out in a transparent pore network model. In order to study the pore scale behavior of bacteria, dodecane and an alkane oxidizing bacterium, Rhodococcus sp. 094, suspended in brine, are examined for evaluating the performance of bacterial flooding in the glass micromodel. The observations show the effects of bacteria on remaining oil saturation, allowing us to get better insight on the mechanisms. Bacterial mass composed of bacteria and bioproducts growth in the fluid interfaces and pore walls have been recorded and are presented. No gas is observed throughout any of the experiments. The biomass blocks some pores and pore-throats, and thereby changing the flow pattern. As a consequent, the flow pattern change together with the previously proposed mechanisms, including the interfacial tension reduction and wettability changes are recognized as active mechanisms in the MIOR process.Keywords Reservoir engineering · MIOR · Glass micromodel · Bacteria and Oil-in-water emulsion Abbreviations MIOR Microbial improved oil recovery S orResidual oil saturation (%) S wir Irreducible water saturation (%) NSPB Producing bacteria SPB Surfactant producing bacteria

show abstract

Possible Applications of MEOR to the Arab Oil Fields

Cited by 4 publications

References 9 publications

Biosurfactant and biopolymer producing microorganisms from West Kazakhstan oilfield

Biosurfactant and biopolymer producing microorganisms from West Kazakhstan oilfield

Application of Using Fuzzy Logic as an Artificial Intelligence Technique in the Screening Criteria of the EOR Technologies

Fundamental Study of Pore Scale Mechanisms in Microbial Improved Oil Recovery Processes

Contact Info

Product

Resources

About