Restimulation: Candidate Selection Methodologies and Treatment Optimization

Moore, Larry Preston; Ramakrishnan, Hariharan

doi:10.2118/102681-ms

Cited by 34 publications

(9 citation statements)

References 11 publications

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“…A literature search on the topic yields numerous papers that discuss mostly successful applications of refracturing technology. 2,3 In almost all of these studies the prior treatments that were applied involved outdated technology such as low strength proppant selection in high closure stress reservoirs, low proppant volumes where higher conductivity was needed, slickwater treatments where conventional gelled treatments damaged the reservoir and didn't create fracture complexity, etc. In most of these cases the application of more modern "best practices" proppant type and proppant volumes for a field resulted in improved productivity.…”

Section: Introductionmentioning

confidence: 99%

A Novel Approach to Identifying Refracturing Candidates and Executing Refracture Treatments in Multiple Zone Reservoirs

Barba¹

2009

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Refracture candidate selection and treatment execution has always presented four main challenges to the industry when multiple pay zones are involved. The first challenge is determining the underlying cause of the poor production performance (poor reservoir quality, an ineffective original stimulation treatment, or both). The second challenge is the identification of the specific zones with significant remaining reserves that have been poorly stimulated. The third challenge is determining the current reservoir pressure in all of the prospective refracture candidate zones. The fourth major challenge is selectively stimulating the target zones in the wellbore when there are existing perforations above the target zones.The first and second challenges are addressed using the "Completion Efficiency" (CE) or "Recovery Factor" (RF) techniques discussed in SPE 90483. 1 These techniques use an integrated petrophysical, reservoir, and completion model to evaluate well and zone performance. The techniques has been employed on over 3000 zones to date in a wide variety of reservoirs with excellent results. The CE and RF analysis can be supplemented by rate-transient production decline analysis if adequate producing time has elapsed. The third challenge is addressed using selective zone buildup and/or injection tests to obtain reservoir pressure and permeability. The recommended technique uses a service rig and a low rate pump truck, tubing, packer, bridge plug, and a surface readout pressure gauge with downhole shutin. This technique has recently been employed on over 60 zones in the last two years in the Hugoton field in Kansas with excellent results. The fourth challenge is selectively isolating individual perforated intervals for the refracture treatments. The most efficient technique involves the use of openhole packer hardware set inside the cased hole. The openhole packer technology has been primarily deployed in horizontal openhole wellbores to date, however the hardware is readily adaptable to cased holes and has been used on a number of vertical cased holes to date (Table 1). The integration of these proven techniques (CE, RF, downhole shutin surface readout testing, and openhole packer hardware) provides the means to meet all of the main challenges of refracturing multiple zone wells. Field examples are provided to demonstrate the viability of the concept, and a methodology is proposed for "best practices" in the implementation of the techniques.

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Section: Introductionmentioning

confidence: 99%

A Novel Approach to Identifying Refracturing Candidates and Executing Refracture Treatments in Multiple Zone Reservoirs

Barba¹

2009

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“…Although a common practice, Previous studies have a common view about CWS; there is not a straightforward process and up to now, there has not been a well-defined and unified approach to address this process (Martin and Raylance;2010;Economides and Martin, 2007;Mohaghegh, 2001). However, Moore and Ramakrishnan (2006) believed that it is possible to formulate a framework for proceeding with the CWS for a certain field.…”

Section: Candidate-well Selection For Hydraulic Fracturingmentioning

confidence: 99%

Hydraulic Fracturing Candidate-Well Selection by Interval Type-2 Fuzzy Set and System

2013

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Selecting a target formation(s) among a vast numbers of zones/sub-layers within huge numbers of hydrocarbon producing wells in a reservoir, is considered a difficult task, particularly if the selection goes through a group of parameters having different attributes and features; such as geological aspect, reservoir and fluid characteristics, etc. The trend of candidate-well selection (CWS) process for Hydraulic Fracturing (HF) had recognized to be complex, nonlinear, un-equilibrium, and adherent with uncertainty. Interval Type-2 Fuzzy Logic and Systems (IT2-FLSs) are very useful in circumstances where it is difficult to determine an exact membership function (MF) for a Fuzzy Set (FS); hence they are very effective for dealing with uncertainties. Classical FLS which called T1-FLS is not capable of fully capturing the linguistic and numerical uncertainties in the terms used and the inconsistency of the expert's decision-making. Therefore, the need arises to use a method that could handle uncertainties. The procedure of applying this novel study in the area of HF CWS, will have illustrated through a case study in a carbonate reservoir. The utilization of a modern and right problem-solving tool such as T2-FSS should be considered a great concern to the petroleum industry. Although sizeable clarity has been achieved in this area, no conceptualization such as dealing with uncertainty, has yet answered by the previous studies. New requirements force the previous methods to advance and novel techniques expected to meet the requirements and remove the existing weakness. In highlighting this need, the question has been answered about why IT2-FLSs should be used in this study. Also, its advantages over T1-FLS will be illustrated. This paper critically assesses the importance of the proposed methodology to develop a reliable model of HF CWS. This investigation is the first research which applied such a cutting-edge approach and tries to fill the gap between recent developments in uncertainty management through utilization of IT2-FLSs in HF candidate-well selection. TX 75083-3836, U.S.A., fax +1-972-952-9435

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“…Numerous studies in tight gas literature have shown that "better wells in a field often have the highest restimulation potential" (Sencenbaugh, 2001;Reese, 1994;Reeves, 1999, Jennings, 1991Dozier, 2003;Moore 2006). For initial screening of potential restimulation candidates from a large database of wells, the approach is to select wells that were possibly understimulated during the original treatment (below average completion index) and are average to better producers.…”

Section: Use Of Completion Index In Potential Restimulation Candidatementioning

confidence: 99%

A Novel Screening Method for Selection of Horizontal Refracturing Candidates in Shale Gas Reservoirs

Sinha

Ramakrishnan

2011

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A novel method to rapidly screen potential horizontal refracturing candidates utilizing production performance and completion data analysis is presented. Candidate selection methods based solely on production comparison analysis are not very effective (Reeves, 2000). Integration of initial hydraulic fracture completion details augments the process and helps in screening understimulated wells in different production classes. To accomplish this, a new index called a "completion index" is defined after analysis of the completion parameters, production behavior and their inter-relationship. Typically, a completion index will be based on the well completion and stimulation job parameters, such as completion type, fluid volume, proppant volume, completed interval length, number of stages etc. The production index is a time normalized production indicator representative of longer-term production or expected ultimate recovery. A crossplot of production indicators and the completion index is used in the initial screening of potential candidates. This method enables fast and efficient screening of wells with a below-average completion index and similar production index from thousands of wells. The screened candidates can then be taken to a higher tier of analysis that integrates the production performance and completion information with available petro-physical data and geological information. A reservoir quality indicator along the horizontal laterals can be extracted from the reservoir model and analyzed with completion index to better understand the production drivers. Based on the data sets studied from Barnett shale areas it was possible to rapidly shortlist 15-20% of the wells from a large well population for further detailed analysis. Wells with an average and higher production index with below average completion index proved to be better candidates in terms of economic payout.

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Restimulation: Candidate Selection Methodologies and Treatment Optimization

Cited by 34 publications

References 11 publications

A Novel Approach to Identifying Refracturing Candidates and Executing Refracture Treatments in Multiple Zone Reservoirs

A Novel Approach to Identifying Refracturing Candidates and Executing Refracture Treatments in Multiple Zone Reservoirs

Hydraulic Fracturing Candidate-Well Selection by Interval Type-2 Fuzzy Set and System

A Novel Screening Method for Selection of Horizontal Refracturing Candidates in Shale Gas Reservoirs

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