Earlangga R. M. Putra

DETERMINATION OF PROSPECT ZONE WITH LOG ANALYSIS IN WORKOVER LAYER RELOCATION AT FIELD X WELL Y

Introduction

Determination of prospect zone with log analysis in workover layer relocation at field x well y. Optimize well production in Field X, Well Y. Determine prospect zones for workover layer relocation using log analysis & OOIP calculation in unique lens formations.

Abstract

AbstrakKeunikan pada lapangan X ialah memiliki formasi batuan yang lenses, yakni memiliki beberapa lapisan reservoir yang tidak saling berhubungan. Berbeda dengan formasi pada umumnya, pada formasi lenses memiliki ukuran lapisan yang kecil-kecil, namun dalam jumlah yang banyak. Sehingga mengakibatkan usia produksi pada setiap lapisan lebih pendek jika dibandingkan dengan formasi yang lain. Hal yang paling tepat dilakukan agar sumur tersebut tetap berproduksi ialah dengan melakukan kerja ulang pindah lapisan. Kerja Ulang Pindah Lapisan dilakukan dengan mengganti lapisan lama dengan lapisan baru yang lebih produktif. Untuk itu perlu ditentukan lapisan mana yang prospek untuk di poduksi. Penentuan lapisan prospek ditentukan dari besar cadangan pada lapisan tersebut. untuk menentukan prospek zona produksi, menggunakan metode analisis data log yang berupa analisis kualitatif, dan analisis kuantitatif. Sedangkan untuk mengetahui potensi hidrokarbon, dilakukan dengan menghitung besar cadangan OOIP. Hasil analisis kualitatif menunjukan adanya tiga lapisan prospek. Lalu perhitungan cadangan dari ketiga lapisan tersebut menunjukan bahwa lapisan L2 ialah yang paling besar prospek dilakukannya pindah lapisan.Kata kunci: Pindah Lapisan, Prospek, Logging, Lenses AbstractThe uniqueness of the X field is having lens rock formations, which have several layers of reservoir. This type reservoir is usually in a small size, A wells that have experienced a decline in production, so that it is uneconomical. The right thing to do to keep the well in production is to do the work again to move the layer. Workover Layer Change is done by replacing the old layer with a new, more productive layer. For this reason, it is necessary to determine which layer is the prospect for production. Determination of the prospect layer is determined from the size of the reserve in the layer. to determine the prospect of a production zone, using the log data analysis method in the form of qualitative analysis, and quantitative analysis. Whereas to find out the hydrocarbon potential, it is done by calculating the OOIP reserves. The results of the qualitative analysis show that there are three layers of prospects. Then the calculation of the reserves of the three layers shows that the L2 layer which is the largest prospect of workover.Keywords— Workover, Prospect, Logging, Lenses

Review

The paper titled "DETERMINATION OF PROSPECT ZONE WITH LOG ANALYSIS IN WORKOVER LAYER RELOCATION AT FIELD X WELL Y" addresses a critical challenge in hydrocarbon production from unconventional and complex geological settings. It focuses on Field X, characterized by unique "lenses rock formations" comprising multiple, small, and disconnected reservoir layers. This geological characteristic leads to shorter production lifespans for individual layers, making conventional long-term production uneconomical once a layer declines. The core problem this study tackles is the need for effective "workover layer relocation" to shift production to new, more prospective layers, thereby extending the economic life of Well Y. The primary objective is to systematically determine which of these numerous layers holds the most significant production potential to justify such a workover operation. To achieve this objective, the authors employed a robust methodology centered on comprehensive log data analysis. The approach integrated both qualitative and quantitative analytical techniques. Qualitative log analysis was utilized for initial identification of potential hydrocarbon-bearing zones, providing an initial screening of candidate layers. Following this, quantitative analysis focused on calculating the Original Oil In Place (OOIP) reserves for these identified prospect layers. This calculation of reserves serves as the primary metric for determining the true prospectivity and economic viability of each layer, moving beyond mere presence of hydrocarbons to an assessment of their commercial potential. This two-pronged analytical strategy ensures a thorough evaluation of the subsurface data. The findings presented in the abstract indicate a clear and practical outcome. The initial qualitative analysis successfully identified three distinct layers with prospect potential. Subsequently, the detailed quantitative calculation of OOIP for these three layers conclusively demonstrated that Layer L2 holds the largest and most promising reserves, thus identifying it as the optimal candidate for the workover layer relocation. This study provides a valuable framework for decision-making in fields with complex, multi-layered, and disconnected reservoirs. The systematic application of log analysis, culminating in reserve estimation, offers a practical solution for optimizing production strategies and extending the economic life of wells in challenging geological environments, contributing significantly to reservoir management practices in similar fields.

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