Application of waterflooding technique to the Angut oilfield in the northern part of Afghanistan

Seddiqi, Khwaja Naweed; Mahdi, Zabihullah

doi:10.1007/s13202-017-0392-5

Cited by 2 publications

(2 citation statements)

References 2 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Relative permeability curves obtained from column test [14] The rate of advancement of the waterfront can be calculated by BL frontal displacement theory using fractional flow curves that are evaluated from the relative permeability curves [13][14][15]. The BL frontal displacement theory is explored in reference [16] and reference [17] experimental analyses and the application of the theory to the experimental model is discussed in reference [18].…”

Section: Figurementioning

confidence: 99%

Waterflooding Technique to the Kashkari Oilfield in the North Part of Afghanistan

Mahdi¹,

Abe²,

Seddiqi³

et al. 2021

Atlantis Highlights in Chemistry and Pharmaceutical Sciences

Self Cite

View full text Add to dashboard Cite

Hydrocarbons represent an important natural resource for the rehabilitation and sustainable development of Afghanistan. In this paper, the use of waterflooding is demonstrated for the petroleum reservoirs of the Kashkari oilfield in northern Afghanistan. The technique stands on the Buckley-Leverett frontal-displacement theory, which enables computation of the progress of the waterfront in the reservoir. The oil and water relative permeabilities, the irreducible water saturation, and the residual oil saturation are obtained from a laboratory experiment. The technique is conducted to the Kashkari oilfield to predict the feasible quantity of the oil that could be produced from this reservoir. As a result, the Buckley-Leverett waterflooding technique recovered 67 MMBBL oil of Kashkari oilfield in 6200 days.

show abstract

Section: Figurementioning

confidence: 99%

Waterflooding Technique to the Kashkari Oilfield in the North Part of Afghanistan

Mahdi¹,

Abe²,

Seddiqi³

et al. 2021

Atlantis Highlights in Chemistry and Pharmaceutical Sciences

Self Cite

View full text Add to dashboard Cite

show abstract

“…In order to meet the pressure requirements of high-pressure wells, when the system is in a high-pressure state it leads to an increase in energy consumption and complicates the optimal operation of waterflooding pipe networks. In this case it is necessary to analyze the characteristics and rules of the pressure distribution of wells, to analyze the feasibility of different zones and pressure waterflooding according to production requirements, and to study the application of new intelligent optimization methods and machine learning methods to solve the problems of topology optimization and pumping scheme optimization in high-low pressure areas [1][2][3].…”

Section: Introductionmentioning

confidence: 99%

Optimization Control of Oilfield Waterflooding Systems Based on Different Zone and Pressure

et al. 2022

View full text Add to dashboard Cite

The scrapping of old waterflooding wells and the increase in new waterflooding wells results in mixed flooding of high–low pressure wells in various oil layers in waterflooding systems. In order to meet production operation requirements, the whole system is in a state of high pressure, which leads to an increase in energy consumption and complicates the operation of waterflooding networks. According to the pressure distribution of wells, proceeding with regional accurate waterflooding can reduce operation costs and improve development efficiency. Considering the technical constraints of waterflooding networks, a method was proposed, which can quantitatively optimize classification and zoning for waterflooding of high–low pressure wells according to the pressure of networks and wells. At the same time, the ant colony algorithm and genetic algorithm were fused to form a new adaptive ant colony genetic hybrid algorithm, which can effectively determine the best pumping scheme of the waterflooding station, the pumping flow and optimize the low-pressure area. The K-means algorithm was used to optimize the topology of the pipe network in the high-pressure area to reduce the overall waterflooding pressure. Finally, the method was successfully applied to the large-scale waterflooding system including 2200 wells and 10 waterflooding stations in sites in China. The results show that the method is effective for the operation and reconstruction of waterflooding pipe networks with large-scale and serious mixed high–low pressure.

show abstract

Application of waterflooding technique to the Angut oilfield in the northern part of Afghanistan

Cited by 2 publications

References 2 publications

Waterflooding Technique to the Kashkari Oilfield in the North Part of Afghanistan

Waterflooding Technique to the Kashkari Oilfield in the North Part of Afghanistan

Optimization Control of Oilfield Waterflooding Systems Based on Different Zone and Pressure

Contact Info

Product

Resources

About