An Expert System for Miscible Gasflooding

Khan, Sarah; Pope, Gary A.; Sepehrnoori, Kamy

doi:10.2118/24431-pa

Cited by 7 publications

(2 citation statements)

References 17 publications

(5 reference statements)

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“…Li et al used an improved AHP and entropy method to calculate combined weights, and established a GC-TOPSIS weighting model for candidate reservoir screening based on the technique for order preference by similarity to ideal solution (TOPSIS) and grey correlation theory [20][21]. Guerillot et al used an expert system to determine EOR screening criteria, which can quickly screen candidate reservoirs using mathematical logic and empirical formula methods [22][23][24][25][26][27][28].…”

Section: Introductionmentioning

confidence: 99%

Evaluation method for CO2 flooding suitability of condensate gas reservoir based on fuzzy analytic hierarchy process

Dali¹,

Hou²,

Zhu³

et al. 2023

Preprint

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CO2 injection to the middle and late stage of development of condensate gas reservoir can not only improve gas well recovery, but also realize the stable storage of CO2, which is of great practical significance to our energy development strategy, and conducive to the realization of "peak carbon neutralization". Comprehensive evaluation of CO2 injection suitability before CO2 injection in condensate gas reservoirs is an important basis for successful CO2 flooding in the field. Firstly, a comprehensive evaluation method of CO2 flooding suitability for condensate gas reservoirs is established based on fuzzy mathematics; secondly, on the basis of literature research, existing indoor experiments and field experience, the influencing factors of CO2 injection in condensate gas reservoirs are summarized, and new evaluation criteria of CO2 injection suitability (4 primary indicators and 14 secondary indicators) are established and quantified; finally, the weights of 4 primary indexes and 14 secondary indexes are determined by AHP(analytic hierarchy process). Based on the above evaluation method, three blocks of HC gas reservoir were evaluated for the suitability of CO2 injection, and the practicality and reliability of this evaluation method were verified by comparing the evaluation results with the ultimate recovery of condensate gas reservoir in each block. This provides a new idea for the scheme adjustment of further development in the middle and later stages of condensate gas reservoir development.

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Section: Introductionmentioning

confidence: 99%

Evaluation method for CO2 flooding suitability of condensate gas reservoir based on fuzzy analytic hierarchy process

Dali¹,

Hou²,

Zhu³

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

“…[39][40][41][42][43][44] In the recent paper by Gharbi 39 , an expert system was developed that can perform three consultations: (1) select an appropriate EOR process on the basis of the reservoir characteristics, (2) prepare appropriate input data sets to design the selected EOR process using the existing numerical simulators, and (3) make optimization studies on several key parameters (selected by the user) in order to optimize the oil recovery from the selected EOR process. The optimization part of the expert system in step (3) was done using an iterative approach based on the oil recovery curve as the decision-making variable.…”

Section: Introductionmentioning

confidence: 99%

A Knowledge-Based System for Optimal Economic Design of Improved Recovery Processes

Gharbi¹

2001

Proceedings of SPE Asia Pacific Oil and Gas Conference and Exhibition

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The main challenge of Enhanced Oil Recovery (EOR) processes at the prevailing low oil prices is to reduce the cost. An optimization methodology, combined with an economic model, is implemented into an expert system for optimizing the net present value of full field development with an EOR process. The approach is automated and combines an economic package and existing numerical reservoir simulators to optimize the design of a selected EOR process using sensitivity analysis. The EOR expert system includes three stages of consultations: (1) select an appropriate EOR process on the basis of the reservoir characteristics, (2) prepare appropriate input data sets to design the selected EOR process using existing numerical simulators, and (3) apply the discounted-cash-flow methods to the optimization of the selected EOR process to find out under what conditions at current oil prices this EOR process might be profitable. The project profitability measures were used as the decision-making variables in an iterative approach to optimize the design of the EOR process. The economic analysis is based on the estimated recovery, residual oil in-place, oil price, and operating costs. Two case studies are presented for two reservoirs that have already been produced to their economic limits and are potential candidates for surfactant/polymer flooding, and carbon-dioxide flooding, respectively, or otherwise subject to abandonment. The effect of several design parameters on the project profitability of these EOR processes was investigated.

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