scholarly journals Geological Model for Khasib Formation of East Baghdad Field Southern Area

2020 ◽  
Vol 10 (3) ◽  
pp. 21-35
Author(s):  
Layth A. Jameel ◽  
Fadhil S. Kadhim ◽  
Hussein Ilaibi Al-Sudani

Geological model construction is an important phase of reservoir study as the production capacity of a reservoir depends on its structural and petrophysical characteristics. The economic benefit of the reservoir is evaluated by estimating the formation petrophysical properties and calculating the oil reserves. East Baghdad southern area field is a newly developing oil field in the middle region of Iraq, where Khasib formation is its main reservoir. The aim of this study is to estimate the petrophysical properties and determine the pay units of the formation under study and the initial oil in place. Sequential Gaussian Simulation was used here to distribute the petrophysical properties as the statistical method and volumetric method was used to calculate the oil in place. The results show that the main reservoir units of the formation are K2 and K3 units, and the estimated oil reserves equal to 2179 mmSTB (346.43 million cubic meters).

2020 ◽  
Vol 10 (2) ◽  
pp. 54-75
Author(s):  
Yousif N. Abdul Majeed ◽  
Dr. Ahmad A. Ramadhan ◽  
Dr. Ahmed J. Mahmood

3D Geological model for tertiary reservoir in khabaz oil field had been constructed byusing petrel software. Seven wells have been selected in this study in order to designPetrophysical properties (porosity, water saturation, and permeability). Structural modelcan be clarified tertiary reservoir in term of geological structures is a symmetrical smallanticline fold with four faults. Tertiary reservoir consist of six units are (Jeribe, UnitA,UnitA', UnitB, UnitBE, and UnitE). According to Petrophysical properties, layering hadbeen constructed for each tertiary units. Petrophysical model has been designed using thesequential Gaussian simulation algorithm as a geostatistical method. The results illustratesthat Unit B and Unit BE have the best petrophysical properties and the big amount of oil.


Author(s):  
Nila Rahayu ◽  
Ratnayu Sitaresmi ◽  
Moeh. Ali Jambak

<p>Perkembangan teknologi dapat dimanfaatkan untuk mengetahui karakteristik reservoir sebelum dilakukannya kegiatan eksplorasi dan eksploitasi. Salah satunya dengan pemodelan geologi dan pemodelan reservoir untuk mendapatkan gambaran bentuk bawah permukaan, karakteristik reservoir, dan <em>OOIP</em>.  Analisis data log dan interpretasi geologi dilakukan untuk mendapatkan informasi lingkungan pengendapan, marker lapisan, dan bentukan struktur reservoir yang digunakan sebagai dasar pembuatan model geologi. Analisis petrofisik akan memberikan informasi mengenai karakteristik batuan reservoir. Untuk mendapatkan model reservoir, hasil analisis petrofisik akan didistribusikan pada model geologi. Kemudian penentuan <em>OOIP</em> dapat dihitung dengan menggunakan metode volumetrik. Reservoir batupasir sudah terbukti menjadi reservoir produktif di berbagai lapangan migas, seperti reservoir batupasir pada Formasi Talang Akar di Lapangan Sungai Lilin. Terdapat enam lapisan yang menjadi obyek penelitian pada Formasi Talang Akar yaitu lapisan D1, D2, E1, E2, F, dan H yang diendapkan pada lingkungan delta plain–delta front terlihat dari pola log yang berkembang yaitu <em>funnel shape, serrated shape</em>, dan <em>bell shape</em>. Perbedaan lingkungan pengendapan akan mempengaruhi geometri dan karakteristik reservoir. Didapatkan nilai <em>cut-off</em> untuk Vcl ≤0.40, porositas ≥0.10 dan saturasi air ≤0.7. Hasil analisis petrofisika kemudian didistribusikan pada model geologi dengan metode <em>Sequential Gaussian Simulation</em> , dimana penyebaran lingkungan pengendapan menjadi arahan dasar penyebaran properti reservoir. Perhitungan <em>OOIP</em> pada enam lapisan di Formasi Talang Akar berdasarkan pemodelan reservoir sebesar 8,387 MSTB, dengan lapisan menarik terdapat pada lapisan E2 2,340 MSTB. </p><p><em>Technological developments can be utilized to determine reservoir characteristics prior to exploration and exploitation activities. One of them is by geological modeling and reservoir modeling to get a picture of subsurface shapes, reservoir characteristics, and OOIP. Log data analysis and geological interpretation were carried out to obtain information on depositional environments, layer markers, and reservoir structure formations that were used as the basis for making geological models. Petrophysical analysis will provide information about reservoir rock characteristics. To get the reservoir model, the results of the petrophysical analysis will be distributed to the geological model. Then the determination of OOIP can be calculated using the volumetric method. </em><em>Sandstone reservoirs have proven to be productive reservoirs in various oil and gas fields, such as sandstone reservoirs in the Talang Akar Formation in Sungai Lilin Field. There are six layers that are the object of research in the Talang Root Formation, namely layers D1, D2, E1, E2, F, and H which are deposited in the plain-delta front delta environment as seen from the developing log pattern, namely funnel shape, serrated shape, and bell shape. The difference in depositional environments will affect the geometry and characteristics of the reservoir. Obtained cut-off values for Vcl ≤0.40, porosity ≥0.10 and water saturation ≤0.7. The results of the petrophysical analysis are then distributed to the geological model using the Sequential Gaussian Simulation method, where the spread of the depositional environment is the basis for spreading reservoir properties. The OOIP calculation for the six layers in the Talang Akar Formation is based on reservoir modeling of 8,387 MSTB, with an interesting layer found at the E2 layer 2,340 MSTB.</em></p>


2019 ◽  
Vol 60 (5) ◽  
pp. 1023-1036
Author(s):  
Naseem Sh. ALhakeem ◽  
Medhat E. Nasser ◽  
Ghazi H. AL-Sharaa

3D geological model for each reservoir unit comprising the Yamama Formation revealed to that the formation is composed of alternating reservoirs and barriers. In Subba and Luhais fields the formation began with barrier YB-1 and four more barriers (YB-2, YB-3, YB-4, YB-5), separated five reservoirs (YR-A, YR-B, YR-C, YR-D, YR-E) ranging in thickness from 70 to 80 m for each of them deposited by five sedimentary cycles. In the Ratawi field the formation was divided into three reservoir units (YR-A, YR-B, and YR-C) separated by two barrier units (YB-2 and YB-3), the first cycle is missing in Ratawi field.   The study involves 1 well in Luhais field (Lu-12), 3 wells in Subba field (Su-7, Su-8, and Su-9), and 5 wells in Ratawi field (Rt-3, Rt-4, Rt-5, Rt-6 and Rt-7), the Luhais, Subba, and Ratawi fields located in the Mesopotamia zone (Zubair subzone). The reservoir units (YR-C and YR-D) in Subba oil field, and YR-B in Ratawi oil field represent the major reservoir units that characterized by the best Petrophysical properties (the highest porosity, the lowest water saturation, and the best Net Pay Thickness), Luhais oil field has poor to moderate Petrophysical properties and low oil bearing in YR-A, YR-B and YR-C units, and produce heavy oil and salt water from YR-D and YR-E as indicated by low resistivity log reading, and according to the Drill Steam Test (DST) with the description of cutting in final geological reports.


2020 ◽  
pp. 2640-2650
Author(s):  
Sarah Taboor Wali ◽  
Hussain Ali Baqer

Nasiriyah oilfield is located in the southern part of Iraq. It represents one of the promising oilfields. Mishrif Formation is considered as the main oil-bearing carbonate reservoir in Nasiriyah oilfield, containing heavy oil (API 25o(. The study aimed to calculate and model the petrophysical properties and build a three dimensional geological model for Mishrif Formation, thus estimating the oil reserve accurately and detecting the optimum locations for hydrocarbon production. Fourteen vertical oil wells were adopted for constructing the structural and petrophysical models. The available well logs data, including density, neutron, sonic, gamma ray, self-potential, caliper and resistivity logs were used to calculate the petrophysical properties. The interpretations and environmental corrections of these logs were performed by applying Techlog 2015 software. According to the petrophysical properties analysis, Mishrif Formation was divided into five units (Mishrif Top, MA, shale bed, MB1 and MB2).    A three-dimensional geological model, which represents an entrance for the simulation process to predict reservoir behavior under different hydrocarbon recovery scenarios, was carried out by employing Petrel 2016 software. Models for reservoir characteristics (porosity, permeability, net to gross NTG and water saturation) were created using the algorithm of Sequential Gaussian Simulation (SGS), while the variogram analysis was utilized as an aid to distribute petrophysical properties among the wells.      The process showed that the main reservoir unit of Mishrif Formation is MB1 with a high average porosity of 20.88% and a low average water saturation of 16.9%. MB2 unit has good reservoir properties characterized by a high average water saturation of 96.25%, while MA was interpreted as a water-bearing unit. The impermeable shale bed unit is intercalated between MA and MB1 units with a thickness of 5-18 m, whereas Mishrif top was interpreted as a cap unit. The study outcomes demonstrated that the distribution accuracy of the petrophysical properties has a significant impact on the constructed geological model which provided a better understanding of the study area’s geological construction. Thus, the estimated reserve h was calculated to be about 7945 MSTB. This can support future reservoir development plans and performance predictions. 


2020 ◽  
Vol 21 (4) ◽  
pp. 41-48
Author(s):  
Layth Abdulmalik Jameel ◽  
Fadhil S. Kadhim ◽  
Hussein Al-Sudani

Petrophysical properties evaluation from well log analysis has always been crucial for the identification and assessment of hydrocarbon bearing zones. East Baghdad field is located 10 km east of Baghdad city, where the southern area includes the two southern portions of the field, Khasib formation is the main reservoir of East Baghdad oil field. In this paper, well log data of nine wells have been environmentally corrected, where the corrected data used to determine lithology, shale volume, porosity, and water saturation. Lithology identified by two methods; neutron-density and M-N matrix plots, while the shale volume estimated by single shale indicator and dual shale indicator, The porosity is calculated from the three common porosity logs; density log, neutron log, and sonic log, the water saturation is calculated by Indonesian model and Archie equation, and the results of the two methods were compared with the available core data to check the validity of the calculation. The results show that the main lithology in the reservoir is limestone, shale volume ranged between 0.152 to 0.249, porosity between 0.147 to 0.220, and water saturation from 0.627 to 0.966, the high-water saturation indicate that the water quantity is the determining factor of the reservoir units.


2021 ◽  
Vol 54 (1C) ◽  
pp. 66-86
Author(s):  
Mahdi Menshed

Geological modeling is very important in reservoir study, where it is described the framework of the structure and provided a distribution of petrophysical properties, the geological model helps to comprehend the fluid flow behavior affected by the heterogeneity of reservoir, also it is used to calculate oil initially in place and to choose the new well location in reservoir management. In this study, a geological model is built for Nahr Umr Formation based on data of 11 wells (SU-2, SU-3, SU-4, SU-5, SU-6, SU-7, SU-9, SU-10, SU-11, SU-13, and SU-14), including the location of wells, well tops, also contour map of the Nahr Umr Formation in Subba oil field is utilized. The structural model is constructed for the Nahr Umr Formation, which consists of two domes. The formation is composed of sandstone mainly interbedded with shale. The formation is divided into four units (B1, B2, C1, and C2) depending on well log data, each unit is divided into layers for getting better distribution of petrophysical properties, where unit B2 is divided to the number of layers is higher than other units due to its heterogeneity. The variogram is used as a geostatistical method to predict the petrophysical properties at unsampled locations, experimental variogram is calculated from well log data in a horizontal and vertical direction. The spherical variogram model shows a good fitting with the experimental variogram. Sequential Gaussian algorithm is used in distribution of petrophysical properties in a geological model which shows good petrophysical properties in unit B2 and unit B1, while units C1 and C2 are highly saturated with water.


2021 ◽  
Vol 54 (1D) ◽  
pp. 29-42
Author(s):  
Rayan Ahmed

The Mauddud reservoir, Khabaz oil field which is considered one of the main carbonate reservoirs in the north of Iraq. Recognizing carbonate reservoirs represents challenges to engineers because reservoirs almost tend to be tight and overall heterogeneous. The current study concerns with geological modeling of the reservoir is an oil-bearing with the original gas cap. The geological model is establishing for the reservoir by identifying the facies and evaluating the petrophysical properties of this complex reservoir, and calculate the amount of hydrocarbon. When completed the processing of data by IP interactive petrophysics software, and the permeability of a reservoir was calculated using the concept of hydraulic units then, there are three basic steps to construct the geological model, starts with creating a structural, facies and property models. The reservoirs were divided into four zones depending on the variation of petrophysical properties (porosity and permeability). Nine wells that penetrate the Cretaceous Formation (Mauddud reservoir) are included to construct the geological model. Zone number three characterized as the most important due to it Is large thickness which is about 108 m and good petrophysical properties are about 13%, 55 md, 41% and 38% for porosity, permeability, water saturation and net to gross respectively. The initial oil and gas in place are evaluated to be about 981×106 STB and 400×109 SCF.


2019 ◽  
Vol 26 (1) ◽  
pp. 160-173
Author(s):  
Wisam I. Taher Al-Rubaye ◽  
Sameera Mohammed Hamd-Allah

Constructing a fine 3D geomodel for complex giant reservoir is a crucial task for hydrocarbon volume assessment and guiding for optimal development. The case under study is Mishrif reservoir of Halfaya oil field, which is an Iraqi giant carbonate reservoir. Mishrif mainly consists of limestone rocks which belong to Late Cenomanian age. The average gross thickness of formation is about 400m. In this paper, a high-resolution 3D geological model has been built using Petrel software that can be utilized as input for dynamic simulation. The model is constructed based on geological, geophysical, pertophysical and engineering data from about 60 available wells to characterize the structural, stratigraphic, and properties distribution along the reservoir. Fourteen geological surfaces for all Mishrif units have been generated based on well tops data and top Mishrif structural map. The reservoir has been divided into 163 sublayers through the vertical direction and 160*383 grid cells in x-y direction with 9,988,640 total grid cells. A scale up process are performed for well log data, then, Sequential Gaussian Simulation algorithm are applied to fill 3D grid cells with properties values in areas away from wells. Pertophysical properties distribution for all reservoir zones are analyzed. The estimated initial oil in place of Mishrif through this model is close to that calculated in other previous studies.  


2020 ◽  
Vol 10 (3) ◽  
pp. 1-20
Author(s):  
Ahmed A. Suhail ◽  
Fadhil S. Kadhim ◽  
Mohammed H. Hafiz

Original oil in place is most critical stages of reservoir management, where the economic advantage of the reservoir is evaluated by estimation of the petrophysical properties and oil reserves. This work was carried out in five wells of Nasiriya oilfield, which is one of the Iraqi oil fields in the southern region. The aim of this study is to calculate oil in place from available data in Nahr Umar formation, having a complex lithology by two methods (static and simulation). It was found that the static model used for computing the petrophysical distribution oil in place was equal to (114  MM or 716 MM STB) and 117 MM  or 734 MM STB for the dynamic one


2016 ◽  
Vol 18 (1) ◽  
pp. 39-53
Author(s):  
Omar Salih ◽  
Mahmoud Tantawy ◽  
Sayed Elayouty ◽  
Atef Abd Hady

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