Permeability Estimation Using Hydraulic Flow Units in a Central Arabia Reservoir

Al-Ajmi, Fahad; Holditch, Stephen A.

doi:10.2523/63254-ms

Cited by 20 publications

(15 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…By applying iterative multi-linear regression clustering [10] to the core data given in Figure 2, the optimum number of hydraulic flow units is four. Core data of each flow unit is assigned to a regression line with a fixed value of flow zone indicator, and is also characterized by a constant pore geometry, as shown in Figure 3.…”

Section: Resultsmentioning

confidence: 99%

See 1 more Smart Citation

A New Method for Normalization of Capillary Pressure Curves

Desouky

2003

Oil & Gas Science and Technology - Rev. IFP

View full text Add to dashboard Cite

Résumé -Nouvelle méthode pour la normalisation des courbes de pression capillaire -Une nouvelle méthode pour la normalisation de données de pression capillaire d'un réservoir a été développée. Celle-ci incorpore les effets de géométrie de pore (distribution de taille de pores et indicateur de zone d'écoulement), de lithologie et de saturation irréductible en eau. L'approche par zone d'écoulement a été utilisée pour classifier le réservoir en zones de géométrie de pore constantes. La fonction de Leverett a été alors corrélée à la saturation en eau normalisée pour chaque zone de réservoir pour grouper les données de pression capillaire de cette zone sur une courbe de tendance. La méthode nécessite des mesures de pression capillaire, de saturation irréductible en eau, et des données classiques de pétrophysique telles que la perméabilité et la porosité. Afin de vérifier la validité de la méthode proposée, les données de pression capillaire, saturation irréduc-tible en eau, et des données classiques de pétrophysique de grès argileux dans le golfe de Suez (Égypte) ont été obtenues et utilisées pour déterminer la précision des relations développées. Les calculs ont montré que le réservoir étudié possède quatre zones de géométrie de pore constantes. Un excellent accord existe entre les données mesurées et celles calculées avec des erreurs relatives moyennes de -5,8, -4,3, 3,7 et 4,4 % respectivement pour les zones de d'écoulement 1, 2, 3 et 4. of -5.8, -4.3, 3.7 and 4.4% for flow unit-1, unit-2, unit-3 and unit-4, respectively. Abstract -A New Method for Normalization of Capillary Pressure Curves -A new method for normalization of capillary pressure data of a reservoir was developed that incorporates the effects of pore geometry (pore size distribution index and flow zone indicator index), lithology index and irreducible water saturation. The hydraulic flow unit's approach was used to classify the reservoir formation into

show abstract

Section: Resultsmentioning

confidence: 99%

“…The hydraulic flow unit is a reservoir zone that is continuous laterally and vertically and has similar flow and bedding characteristics. The hydraulic flow unit that characterized a specific reservoir zone is mathematically expressed by [10].…”

Section: Theoretical Analysismentioning

confidence: 99%

A New Method for Normalization of Capillary Pressure Curves

Desouky

2003

Oil & Gas Science and Technology - Rev. IFP

View full text Add to dashboard Cite

show abstract

“…FZI is calculated from permeability and porosity values (Ti et al, 1993;Al-Ajmi and Holditch, 2000), the best indicator being permeability and porosity both determined at reservoir overburden stress:…”

Section: Cutoffs For Rock Type Classificationmentioning

confidence: 99%

The Classifying and Modeling of Reservoir Rock Types in the Development Planning Stage of an Undeveloped Oilfield

Yang¹,

Gu²,

Zhao³

et al. 2014

Petroleum Science and Technology

View full text Add to dashboard Cite

The H oilfield is currently in the development planning stage. There were two problems that were to be resolved during the study. First, there is no clear relationship between porosity and permeability; if using single relationship to calculate permeability, then strong heterogeneity of the reservoir will be concealed, and the development plan will be affected. Second, how is it possible to classify reservoir rock type on wells and in 3D models? Through analysis of core and laboratory data, rock types are divided into four categories, and each type gets a good porosity-permeability relationship, the formula of each type has been calculated the permeability. For the purpose of reservoir classification on wells and in 3D model, the cutoffs of electrical logs and petrophysical properties were analyzed. Vshale and DEN were used to divide reservoir on wells, and FZI and pore throat radius were used to divide reservoir in 3D model. In the end reservoir is in quantitative characterization.

show abstract

“…The mean hydraulic unit radius (r mh ) concept is the key to determine the hydraulic units and 83 allows a suitable relationship between porosity, permeability, capillary pressure and geological 84 variation in the reservoir rock [16]. The mean hydraulic unit radius can be defined as the ratio of Where φ and τ are porosity and tortuosity, respectively.…”

mentioning

confidence: 99%

“…The square root of k over φ is known as rock quality index (RQI), which is used in rock type 74 determination [16]. Therefore, the Eq.…”

mentioning

confidence: 99%

Pore size determination using normalized J-function for different hydraulic flow units

Abedini

Torabi

2015

Petroleum

View full text Add to dashboard Cite

20Pore size determination of hydrocarbon reservoirs is one of the main challenging areas in 21 reservoir studies. Precise estimation of this parameter leads to enhance the reservoir simulation, 22 process evaluation, and further forecasting of reservoir behavior. Hence, it is of great importance 23 to estimate the pore size of reservoir rocks with an appropriate accuracy. In present study, a 24 modified J-function was developed and applied to determine the pore size radius in one of the 25 hydrocarbon reservoir rocks located in the Middle East. The capillary pressure data vs. water 26 saturation (P c -S w ) as well as routine reservoir core analysis include porosity (φ) and permeability 27 (k) were used to develop the J-function. First, the normalized porosity (φ z ), the rock quality index 28 (RQI), and the flow zone indicator (FZI) concepts were used to categorize all data into discrete 29 M A N U S C R I P T A C C E P T E D ACCEPTED MANUSCRIPT 2 hydraulic flow units (HFU) containing unique pore geometry and bedding characteristics.30Thereafter, the modified J-function was used to normalize all capillary pressure curves 31 corresponding to each of predetermined HFU. The results showed that the reservoir rock was 32 classified into five separate rock types with the definite HFU and reservoir pore geometry. 33Eventually, the pore size for each of these HFUs was determined using a developed equation 34 obtained by normalized J-function corresponding to each HFU. The proposed equation is a 35 function of reservoir rock characteristics include φ z , FZI, lithology index (J * ) and pore size 36 distribution index (ɛ). Using this methodology, the reservoir under study was classified into five 37 discrete HFU with unique equations for permeability, normalized J-function and pore size. The 38proposed technique is able to apply on any reservoir to determine the pore size of the reservoir 39 rock, specially the one with high range of heterogeneity in the reservoir rock properties. 40

show abstract

Permeability Estimation Using Hydraulic Flow Units in a Central Arabia Reservoir

Cited by 20 publications

References 0 publications

A New Method for Normalization of Capillary Pressure Curves

A New Method for Normalization of Capillary Pressure Curves

The Classifying and Modeling of Reservoir Rock Types in the Development Planning Stage of an Undeveloped Oilfield

Pore size determination using normalized J-function for different hydraulic flow units

Contact Info

Product

Resources

About