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Successful Geosteering in Ecuador Using the Bright Spot Phenomenon From Deep Resistivity Images

机译:使用来自深电阻率图像的亮点现象在厄瓜多尔成功地汇演

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The challenges presented by a field in Ecuador included placing the wells in the cleanest, most permeable portion of the reservoir, in the middle of the structure, without penetrating an overlaying kaolinitic bed or the caprock shale above the reservoir or penetrating the water bearing zone. These objectives could not be optimally achieved with traditional wellbore imaging sensors or with deep non-azimuthal wave resistivity. Wellbore imaging instruments identify the relative dip and azimuth of geological events intersecting the wellbore, but the information is clear only after leaving the reservoir. Non- azimuthal wave resistivity predicts the impending intersection with a reservoir boundary, but does not predict the azimuth of approach. In the first instance, a proper decision can be made only after exiting the reservoir; in the second instance, a proper decision requires other knowledge about the probable direction of the approaching boundary. A newly deployed azimuthal deep resistivity while-drilling sensor produces a vast array of azimuthal measurements. When mapped into an image, deep resistivity behaves for the most part like traditional images in which "smiling" patterns indicate that the wellbore is going up stratigraphically and "frowning" patterns indicate that the wellbore is going down stratigraphically. One exception is the newly discovered phenomenon of the "bright spot" that appears when approaching a low resistivity shale or water bearing interval from a high resistivity reservoir. The bright spot clearly indicates an impending reservoir exit. Because it is keyed to the low side of the well, the bright spot indicates the direction of the required evasive action to remain within the desired interval. This visual indicator is complemented by a novel quantitative measurement, the Geosignal, which features a strong exponential dependence on the distance to the boundary of the reservoir. In the examples shown, the visual information from the bright spot is combined with the quantitative information from the Geosignal measurement to properly guide real-time geosteering decisions.
机译:厄瓜多尔领域呈现的挑战包括将井放在储存器的最干净,最渗透部分中,在结构的中间,而不穿透覆盖的高桥床或储存器上方的脚轮页岩或穿透水承载区。通过传统的井眼成像传感器或具有深度非方位角波形电阻率,无法最佳地实现这些目标。 Wellbore成像仪器识别与井筒相交的地质事件的相对倾角和方位角,但信息仅在离开水库后才清晰。非方位角波形电阻率预测与储层边界的即将结转的交叉点,但不能预测方法方位角。首先,只有在离开储存器后才可以进行适当的决定;在第二个例子中,正确的决定需要关于接近边界的可能方向的其他知识。钻孔传感器的新部署的方位角深电阻率产生了大量方位角测量。当映射到图像中时,深度电阻率为大多数情况都像传统图像一样,“微笑”模式表明井筒正在上升地层和“皱眉”的图案表明井筒正在落下地层上。一个例外是在从高电阻率储存器接近低电阻率页岩或水轴承间隔时出现的“亮点”的新发现现象。明亮的点清楚地表明即将到来的储层出口。因为它被孔的低侧孔,所以亮点表示所需的回避动作的方向保持在所需的间隔内。该视觉指示器由新颖的定量测量,地磁标配,其具有对与储存器边界的距离的强烈指数依赖性。在所示的示例中,来自亮点的视觉信息与来自地磁测量的定量信息组合,以正确指导实时地升性决策。

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