Application of well log analysis for source rock evaluation in the Duwi Formation, Southern Gulf of Suez, Egypt

Sharawy, Mohamed S. El; Gaafar, Gamal Ragab

doi:10.1016/j.jappgeo.2011.12.005

Cited by 27 publications

(10 citation statements)

References 5 publications

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“…Moreover, This model is valid only in Δt (Sonic Log) ranging from 262 to 460 μs/m. Error in TOC calculation can be expected at extreme low or high Δt due to the proposed scale is not valid at this situation [8]. Combination of both LOM (above the range) and Sonic Log (below) range in the formation often gives negative separation, and gives erroneous TOC calculation result.…”

Section: Resultsmentioning

confidence: 93%

“…However, we expect erroneous result from this calculation. Applicable in rocks with Δt ranges from 262 to 460 μs/m, And LOM ranges from 6-10.5, with Ro-0.5 to 0.9 [8]. Mallick-Raju Model (1993) was used to determine the source-rock maturity level using Vitrinite Reflectance (Ro).…”

Section: Methodsmentioning

confidence: 99%

“…1 and Table. 2). Rock-Eval data are expressed as mg/g of rock and include three basic parameters [7] [8] x S1 represents the quantity of free hydrocarbons present in the rock and is roughly analogous to the solvent extractable portion of the organic matter;…”

Section: Introductionmentioning

confidence: 99%

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Source rock formation evaluation using TOC & Ro log model based on well-log data procesing: study case of Ngimbang formation, North East Java basin

et al. 2017

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Abstract. Ngimbang Formation is known as one major source of hydrocarbon supply in the North Eastern Java Basin. Aged Mid-Eocene, Ngimbang is dominated by sedimentary clastic rocks mostly shale, shaly sandstone, and thick layers of limestone (CD Limestone), with thin layers of coal. Although, laboratory analyses show the Ngimbang Formation to be a relatively rich source-rocks, such data are typically too limited to regionally quantify the distribution of organic matter. To adequately sample the formation both horizontally and vertically on a basin-wide scale, large number of costly and time consuming laboratory analyses would be required. Such analyses are prone to errors from a number of sources, and core data are frequently not available at key locations. In this paper, the authors established four TOC (Total Organic Carbon Content) logging calculation models; Passey, Schmoker-Hester, Meyer-Nederloff, and Decker/ Density Model by considering the geology of Ngimbang. Well data along with its available core data was used to determine the most suitable model to be applied in the well AFA-1, as well as to compare the accuracy of these TOC model values. The result shows good correlation using Decker (TOC) Model and Mallick-Raju (Ro-Vitrinite Reflectance) Model. Two source rocks potential zones were detected by these log models.

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Section: Resultsmentioning

confidence: 93%

Section: Methodsmentioning

confidence: 99%

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Source rock formation evaluation using TOC & Ro log model based on well-log data procesing: study case of Ngimbang formation, North East Java basin

et al. 2017

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“…The earliest way to evaluate TOC content was measuring from core samples directly in the laboratory; however, this method depended significantly on variations within the core samples, and the result profile wasn't continuous. Organic shale formations respond to gamma ray, porosity and resistivity logs differently than the surrounding rocks and wireline logs started to be used to evaluate the source rock potential [1][2][3][4]. The wireline log-based TOC content evaluation can provide continuous and in-situ results of the target formation.…”

Section: Introductionmentioning

confidence: 99%

Dual-shale-content method for total organic carbon content evaluation from wireline logs in organic shale

2017

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Organic shale is one of the most important unconventional resources all around the world. Total organic carbon (TOC) content is an important evaluation parameter of reservoir hydrocarbon source quality. The regular evaluation methods have higher requirements of well logs and core experiment data for statistical regression. Through analyzing the resistivity and gamma ray logging response characteristics of shale content and organic matters, combined with digital rock physics experiment simulation, we put forward and improve the dual-shale-content method for TOC content logging evaluation. The accuracy of this method is verified by actual data processing. The result shows the dual-shale-content method is simple to use and the error is small. And by comparing with the calculation results by using the ∆LogR method, it is revealed that the trend of the TOC content calculated by our method agrees with the core results better. This new method is suitable for the evaluation of TOC content in the area or interval where there is only conventional logs.

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“…These well logging data can then be used to predict porosity, permeability, mineral volume and oil/gas saturation by using some petrophysical models in conventional oil/gas formations. In addition, wireline logs are also used to estimate the total organic carbon (TOC) content of source rock [4][5][6][7][8][9][10]. Some methods only employ one or a few logs to calculate TOC content, and the TOC prediction data are often incomplete and not accurate for a particular formation [5][6][7][8].…”

Section: Introductionmentioning

confidence: 99%

A Novel Wireline Logs Based Approach for Assessment of Mineral Concentrations in Organic Shale

Tan

Zou²,

Wang³

et al. 2014

Oil Shale

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It is usually difficult to establish a petrophysical model or empirical formula for the assessment of mineral concentrations in oil-or gas-bearing shale. The radial basis function (RBF) network can be used to construct the mapping between well logs and mineral concentration. In this work, the basic principle of RBF is discussed in detail, including network structure, basis function, and network training method. The nearest neighbor algorithm is selected for the network training. Then, one case study for the mineralogy analysis is applied to show how to construct an optimum RBF network. The Gaussian spread in RBF is investigated to improve the mineral composition prediction accuracy through leave-one-out cross validation and optimum wireline logs as inputs are chosen. Finally, the concentrations of minerals such as quartz, feldspars, calcite and pyrite as well as clay minerals are calculated, and they are all in good agreement with X-ray Diffraction (XRD) measurement results. Furthermore, the errors analysis indicates that the RBF method is effective and applicable for the assessment of mineral concentrations in organic shale.

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Application of well log analysis for source rock evaluation in the Duwi Formation, Southern Gulf of Suez, Egypt

Cited by 27 publications

References 5 publications

Source rock formation evaluation using TOC & Ro log model based on well-log data procesing: study case of Ngimbang formation, North East Java basin

Source rock formation evaluation using TOC & Ro log model based on well-log data procesing: study case of Ngimbang formation, North East Java basin

Dual-shale-content method for total organic carbon content evaluation from wireline logs in organic shale

A Novel Wireline Logs Based Approach for Assessment of Mineral Concentrations in Organic Shale

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