储层表征

编队评估-2023

在油田的生命周期中,从勘探、生产到开发,当我们磨练知识以了解储层时,我们经常探索不同尺度的地层评估的各个子领域。在本期中,我们在三个不同的尺度上探索三个这样的子域。

编队评估重点介绍

地层评估领域探索储层的变化程度。在油田的生命周期中,从勘探、生产到开发,当我们磨练知识以了解油藏时,我们经常在不同规模上探索该学科的各个子领域。在本期中,我们在三个不同的尺度上探索三个这样的子域。

当在不同规模(从概念到模型,最后到经验)进行学科研究时,可以最好地捕获储层特性的异质性以及从测量到预测的相关不确定性。

论文URTeC 2021-5434试图了解盆地的动态。这项研究研究了特拉华盆地的 Wolfcamp 地层,该盆地的烃源岩质量和热成熟度深受盆地构造的影响。盆地西半部在整个地质时期相对稳定,其烃源岩成熟度高于相对活跃的东半部。这种已知和观察到的现象已在各种工作中得到报道,从镜质体反射率研究到生产井中较高的气/油比。作者探讨了新生代盆地西部火成岩活动产生较高常驻热通量的可能性,从而产生了这些条件。在我看来,这绝对是大局。这样的知识有助于理解为什么我们会看到我们所看到的东西。这不仅仅是一次学术活动;更是一次学术活动。它有助于解决该领域进入开发阶段时建设设施、管道和压缩机站的实际问题。

一旦建立了流域尺度的区域概念,局部水库尺度模型就为感知水库尺度的异质性提供了智能基础设施。诸如此类的模型从各种测量范围中寻找答案。从测井曲线到岩心,从构造图到生产历史,各个分支学科在后续的假设检验中都发挥着至关重要的作用。那么,将这些概念模型应用到现代的类比中,可以为当前的过程提供理由或批评,并且一次又一次地成为过去的关键。

在论文IPTC 21225中,作者探讨了从多学科数据集构建海底河流/三角洲系统可变规模水库模型的有效性。作者整合了各种分辨率和粒度的测量结果,使分析能够平移和缩放异质性的规模。经过该领域 20 多年的生产,这里的知识对于理解储层分区并因此确定加密位置仍然具有无价的价值。我对这些沉积系统的复杂性以及作者为理解它们所做的努力很感兴趣。

一旦确定了总体情况,就该将象征性的靴子付诸实践,或者将知识付诸实践,用于钻井和生产流体。本期的第三个选择,论文URTeC 2021-5410,讨论了其中一个方面。

孔隙压力预测是这方面的一项重要工作,误差范围非常小。在勘探的早期阶段,当井数据即使不是稀缺的时候也是有限的,安全钻井和建井往往依赖于孔隙压力预期和预测模型的精度。随后,随着油井的成熟,了解孔隙压力的变化有助于设计人工举升系统(如有必要),以优化生产并最大限度地延长油田寿命。

在第三篇论文中,作者对孔隙压力预测模型中广泛使用的一些实践概念和经验参数提出了挑战。其中之一,毕奥系数,很难测量,很少能从实验中获得,而且过于笼统。作者讨论了这些参数的含义以及过度假设可能导致的与真实值的偏离。在我看来,这是任何地质力学爱好者的必读之作。

我希望读者能够理解形成评估所关注的异质性尺度。这里的目的超出了纯粹的学术目的,研究往往因缺乏测量数据而受到负担。然而,当通过交叉引用互补领域并探索不同尺度的异质性来寻求知识时,可以最大限度地减少不确定性。

本月的技术论文

孔隙压力预测模型研究碳氢化合物的生成

二维恢复和盆地建模提供了对地层成熟度的洞察

提高对小型油藏的了解可优化全油田生产力


Sandeep Mukherjee, SPE,是 Callon Petroleum 的地球科学顾问。他拥有明尼苏达大学地质学硕士学位。Mukherjee 的专业领域涉及地层评估的各个领域。他是JPT编辑审查委员会的成员。

原文链接/jpt
Reservoir characterization

Formation Evaluation-2023

In the life cycle of a field, from exploration and production to development, as we hone our knowledge to understand the reservoir, we often explore various subdomains of formation evaluation at various scales. In this issue, we explore three such subdomains at three different scales.

Formation Evaluation Focus intro

The domain of formation evaluation explores how varied a reservoir could be. In the life cycle of a field, from exploration and production to development, as we hone our knowledge to understand the reservoir, we often explore various subdomains of this discipline at various scales. In this issue, we explore three such subdomains at three different scales.

Heterogeneity of reservoir properties, as well as the associated uncertainty, from measured to predicted, is best captured when disciplines are studied at different scales, from concepts to models and, finally, to experiences.

Paper URTeC 2021-5434 attempts to understand the dynamics of a basin. This research studies the Wolfcamp formation of the Delaware Basin, where quality of the source rock and thermal maturity is deeply governed by the basin tectonics. The western half of the basin, which was relatively stable through geologic time, shows higher maturity in the source rocks than the relatively active eastern half. This known and observed phenomenon has been reported in various works, from vitrinite reflectance studies to the higher gas/oil ratio in producing wells. The authors explore the possibility of higher resident heat flux from igneous activities in the western part of the basin during the Cenozoic that generated these conditions. This, in my opinion, is the absolute big picture. Knowledge like this helps comprehension of why we see what we see. This is not just an academic exercise; it helps address practical problems in constructing facilities, pipelines, and compressor stations when the field enters the development stage.

Once basin-scale regional concepts are established, local reservoir-scale models provide the intellectual infrastructure for the perception of reservoir-scale heterogeneities. Models such as these seek answers from various spectra of measurements. From well logs to cores and from structural maps to production histories, the various subdisciplines all play a crucial role in subsequent hypotheses tests. Applying these conceptual models, then, to modern-day analogs provides justification or critiques of the process for the present and has time and again been the key to the past.

In paper IPTC 21225, the authors explore the validity of constructing a variable-scale reservoir model of a submarine fluvial/deltaic system from multidisciplinary data sets. The authors integrate these measurements of various resolutions and granularity, enabling the analyses to pan and zoom on the scales of the heterogeneity. After 20-plus years of production in this field, the knowledge here is still invaluable for understanding the reservoir compartmentalization and, thus, determining infill locations. I am intrigued by the complex nature of these depositional systems and the efforts the authors make to understand them.

Once the big picture has been established, it becomes time to put the figurative boots on the ground, or the knowledge to work, for drilling wells and producing fluids. The third choice for this issue, paper URTeC 2021-5410, discusses one of those aspects.

Pore-pressure prediction is a crucial exercise in this respect, with a very tight margin for error. In early phases of exploration, when well data are limited if not scarce, safe drilling and well construction often rely on the precision of pore-pressure expectancy and prediction models. Subsequently, as the well matures, understanding changes in pore pressure helps design artificial lift systems, if necessary, to optimize production and maximize the life of the field.

In this third paper, the authors challenge some of the practiced notions and empirical parameters that are widely used in pore-pressure-prediction models. One of those, the Biot’s coefficient, is hard to measure, rarely available from experiments, and grossly overgeneralized. The authors discuss the implications of these parameters and the resulting excursion from the true value that overassumptions could make. In my opinion, this is a must-read for any geomechanics enthusiast.

I hope the readers appreciate the scales of heterogeneity with which formation evaluation is concerned. The purposes here are beyond purely academic, and research often is burdened by a lack of measured data. Uncertainties can be minimized, however, when knowledge is sought by cross-referencing complementary domains and exploring heterogeneity in variable scales.

This Month’s Technical Papers

Pore-Pressure-Prediction Model Investigates Hydrocarbon Generation

2D Restorations and Basin Modeling Provide Insight Into Formation Maturation

Improved Understanding of Minor Reservoirs Optimizes Full-Field Productivity


Sandeep Mukherjee, SPE, is a geosciences adviser at Callon Petroleum. He holds a master’s degree in geology from the University of Minnesota. Mukherjee’s area of expertise lies within the various domains of formation evaluation. He is a member of the JPT Editorial Review Board.