Natural polymers have been investigated as part of the endeavors of green chemistry practice in the oil field. However, natural polymer studies are still preliminary. The current study examines okra’s (natural polymer) efficiency for polymer flooding, particularly in Kazakhstan. The evaluation targets the heavy oil trapped in carbonate reservoirs. SEM and FTIR were used to characterize morphology and chemical composition. A rheology study was conducted under different shear rates for three plausible concentrations: 1 wt.%, 2 wt.% and 5 wt.%. The core flooding was challenged by the low porosity and permeability of the core. The results showed that okra’s size is between 150–900 μm. The morphology can be described by rod-like structures with pores and staking as sheet structures. The FTIR confirmed that the solution contains a substantial amount of polysaccharides. During the rheology test, okra showed a proportional relationship between the concentration and viscosity increase, and an inversely proportional relationship with the shear rate. At reservoir temperature, the viscosity reduction was insignificant, which indicated good polymer stability. Okra showed shear-thinning behavior. It was fitted to the Ostwald–de Waele power-law model by a (90–99)% regression coefficient. The findings confirm okra’s pseudo-plasticity, and that it is proportional to the solution concentration. The incremental oil recovery was 7%. The flow was found to be restricted due to the mechanical entrapment resulting from the large molecule size and the low porosity–permeability of the system. This study proves that the dominating feature of natural polysaccharide derivatives is their applicability to moderate reservoir conditions. The current study is a positive attempt at natural polymer application in Kazakhstan and similar field conditions.

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Bioethanol production from monomeric sugar is performed by several yeasts. But there are several limitations associated with yeast strains such as their low tolerance to ethanol, toxic inhibitors, and high sugar concentration. Genetic and metabolic engineering of potential yeast strains can overcome the above limitations. The present article summarized current genetic and metabolic engineering approaches for the development of yeast strain for efficient ethanol production. The review systematically examined bioethanol generations based on substrate utilization, criteria for strain selections, strategies for strain improvements including randomized mutagenesis, genetic engineering, metabolic engineering, genome editing, whole genome (re)sequencing, promoter engineering, quantitative trait locus analysis, protein engineering, and evolutionary engineering. Different fermentation technologies employed in hydrolysate fermentation including low gravity (LG), high gravity (HG), and very high gravity (VHG) as well as challenges of yeast strains development and its future prospect have been critically evaluated in this article. Significant engineering efforts are imminent for yeast‐based second‐generation biofuel to leave a demonstration phase through strain improvement and become economically competitive with fossil fuel. Practical Applications This is a comprehensive review of yeast strain development for bioethanol production. The readers should be able to acquire some basic knowledge on: The accompanied substrates for bioethanol generations as well as the technologies and challenges behind them. The criteria to consider in selecting yeast strain for bioengineering development. Different strategies and their reported applications employed in yeast strain development including randomized mutagenesis, genetic engineering, metabolic engineering, genome editing, whole genome (re)sequencing, promoter engineering, quantitative trait locus (QTL) analysis, protein engineering, and evolutionary engineering. Challenges and merits of different fermentation technologies employed in hydrolysate fermentation including LG, HG, and VHG. Possible challenges to encounter in developing yeast strain for bioethanol production. Desirable traits to consider in the selection and development of yeast strains for bioethanol production.

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