Restimulation: Candidate Selection Methodologies and Treatment
Optimization

Moore, Larry Preston; Ramakrishnan, Hariharan

doi:10.2523/102681-ms

Cited by 5 publications

(4 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In addition to the issues relating to uncertainties, it is also evident that many operators lack the very high level of technical knowledge and analytical skills needed for selecting candidate wells for fracturing [37]. McVey et al [2,38,39] argue that there is a need to provide a methodology that facilitates selecting the desired well/layer with minimum time and costs and that provides a framework that makes it easier to overcome the difficulties in conventional techniques.…”

Section: Introductionmentioning

confidence: 99%

Hybridising Human Judgment, AHP, Grey Theory, and Fuzzy Expert Systems for Candidate Well Selection in Fractured Reservoirs

et al. 2017

View full text Add to dashboard Cite

Abstract:The selection of appropriate wells for hydraulic fracturing is one of the most important decisions faced by oilfield engineers. It has significant implications for the future development of an oilfield in terms of its productivity and economics. In this study, we developed a fuzzy model for well selection that combines the major objective criteria with the subjective judgments of decision makers. This was done by fusing the analytic hierarchy process (AHP) method, grey theory and an advanced version of fuzzy logic theory (FLT). The AHP component was used to identify the relevant criteria involved in selecting wells for hydraulic fracturing. Grey theory was used to determine the relative importance of those criteria. Then a fuzzy expert system was applied to fuzzily process the aggregated inputs using a Type-2 fuzzy logic system. This undertakes approximate reasoning and generates recommendations for candidate wells. These techniques and technologies were hybridized by using an intercommunication job-sharing method that integrates human judgment. The proposed method was tested on data from an oilfield in Western China and finally the most appropriate candidate wells for hydraulic fracturing were ranked in order of their projected output after fracturing.

show abstract

Section: Introductionmentioning

confidence: 99%

Hybridising Human Judgment, AHP, Grey Theory, and Fuzzy Expert Systems for Candidate Well Selection in Fractured Reservoirs

et al. 2017

View full text Add to dashboard Cite

show abstract

“…Therefore, a reliable and systematic approach is critical to an increase in the success of refracturing jobs. Several published works [8][9][10][11] have suggested a selection of methodologies for finding good shale-gas-well candidates for refracturing. However, application of these methods is limited, and results are unsatisfactory in horizontal-well or complex-fracture-network cases or when adequate completion and reservoir/geology data sets are lacking.…”

Section: Introductionmentioning

confidence: 99%

Well Screen and Optimal Time of Refracturing: A Barnett Shale Well

Tavassoli

Javadpour

et al. 2013

Journal of Petroleum Engineering

View full text Add to dashboard Cite

Gas-production decline in hydraulically fractured wells in shale formations necessitates refracturing. However, the vast number of wells in a field makes selection of the right well challenging. Additionally, the success of a refracturing job depends on the time to refracture a shale-gas well during its production life. In this paper we present a numerical simulation approach to development of a methodology for screening a well and to determine the optimal time of refracturing. We implemented our methodology for a well in the Barnett Shale, where we had access to data. The success of a refracturing job depends on reservoir characteristics and the initial induced fracture network. Systematic sensitivity analyses were performed so that the characteristics of a shale-gas horizontal well could be specified as to the possibility of its candidacy for a successful refracturing job. Different refracturing scenarios must be studied in detail so that the optimal design might be determined. Given the studied trends and implications for a production indicator, the optimal time for refracturing can then be suggested for the studied well. Numerical-simulation results indicate significant improvement (on the order of 30%) in estimated ultimate recovery (EUR) after refracturing, given presented screen criteria and optimal-time selection.

show abstract

“…For Barnett shale, Siebrits et al (2000) reported increased production of natural gas by refracturing treatment. On the selection of candidate wells and time of re-fracturing treatment, researchers such as Craig and Blasingame (2005), Rousell and Sharma (2011), Moore and Ramakrishnan (2006), and Tavassoli et al (2013) discussed and have developed criterion-based approaches. Moreover, the success of a re-fracturing treatment depends on the depleted reservoir pressure and hydraulic fracture geometry (Vincent 2010;Shekar and Hariharan 2011;Wang et al 2013).…”

Section: Introductionmentioning

confidence: 99%

On the feasibility of re-stimulation of shale wells

2015

View full text Add to dashboard Cite

As a result of advances in horizontal completions and multi-stage hydraulic fracturing, the U.S. has been able to economically develop several decades of worth of natural gas. However, a considerable concern has risen on the economic viability of shale gas development for reasons associated with the fast production declines as well as recent down-turns of natural gas prices besides rises in the costs of new technologies. Therefore, an economic analysis is required to investigate the profitability of the refracturing treatment of unconventional gas resources. Net present value of cash flows and internal rate of return are calculated for a range of gas prices considering 20 years of natural gas production from a typical unconventional shale gas reservoir. A systematic comparison is then accomplished for three scenarios: (1) re-fracturing versus no refracturing, (2) combination of re-fracturing and drilling new wells, and (3) time-dependent re-fracturing treatment. Further, this paper incorporates the cost of re-fracturing treatment, the cost of drilling a new horizontal well, the water treatment cost, as well as the current and future price of natural gas in the model. The findings of this work would help the future re-stimulation development plans of the emerging unconventional shale gas plays.

show abstract

Restimulation: Candidate Selection Methodologies and Treatment Optimization

Cited by 5 publications

References 0 publications

Hybridising Human Judgment, AHP, Grey Theory, and Fuzzy Expert Systems for Candidate Well Selection in Fractured Reservoirs

Hybridising Human Judgment, AHP, Grey Theory, and Fuzzy Expert Systems for Candidate Well Selection in Fractured Reservoirs

Well Screen and Optimal Time of Refracturing: A Barnett Shale Well

On the feasibility of re-stimulation of shale wells

Contact Info

Product

Resources

About